Edge states hybridize in finite-size topological materials,opening a gap between edge states which weakens the topological protection.Recent studies discover the recovery of zero modes in the finite-size non-Hermitian...Edge states hybridize in finite-size topological materials,opening a gap between edge states which weakens the topological protection.Recent studies discover the recovery of zero modes in the finite-size non-Hermitian Su-Schrieffer-Heeger photonic lattices,which is of significance for fault-tolerant photonic integrations.In this paper,we reveal that the underlying mechanism is level attraction,a phenomenon common in non-Hermitian systems.展开更多
The chiral edge states in the Haldane model and the antichiral edge states in the modified Haldane model have been extensively studied,revealing intriguing transport properties.In this work,the frequency-dependent spa...The chiral edge states in the Haldane model and the antichiral edge states in the modified Haldane model have been extensively studied,revealing intriguing transport properties.In this work,the frequency-dependent spatial regulation of chiral and antichiral edge states is investigated in gyromagnetic photonic crystals through sublattice modulation.The unequal magnetization intensity on two-type sublattices,breaking the inversion symmetry,leads to the shift of the chiral edge state dispersions and the lifting of the degenerate antichiral edge states.Through simulations and experiments,we demonstrate that,under sublattice modulation,the transport efficiency of chiral and antichiral edge states at different edges is actively controlled,breaking through the functional limitations of conventional models.Based on this mechanism,a multi-channel waveguide is proposed,providing a new path for the functional innovation and system integration of topological photonic devices.展开更多
Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and v...Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and viable quantum algorithms for simulating large-scale materials are still limited.We propose and implement random-state quantum algorithms to calculate electronic-structure properties of real materials.Using a random state circuit on a small number of qubits,we employ real-time evolution with first-order Trotter decomposition and Hadamard test to obtain electronic density of states,and we develop a modified quantum phase estimation algorithm to calculate real-space local density of states via direct quantum measurements.Furthermore,we validate these algorithms by numerically computing the density of states and spatial distributions of electronic states in graphene,twisted bilayer graphene quasicrystals,and fractal lattices,covering system sizes from hundreds to thousands of atoms.Our results manifest that the random-state quantum algorithms provide a general and qubit-efficient route to scalable simulations of electronic properties in large-scale periodic and aperiodic materials.展开更多
Recently,the concept of higher-order topological insulators has aroused widespread attention and research interest.However,current studies have predominantly focused on the domain of acoustic waves.Compared to acousti...Recently,the concept of higher-order topological insulators has aroused widespread attention and research interest.However,current studies have predominantly focused on the domain of acoustic waves.Compared to acoustic waves,elastic waves are vector waves,making their study more complex and challenging.Therefore,achieving higher-order topological states in elastic waves holds significant research value.In this paper,we proposed the design of an intelligent topological metamaterial,which is composed of magneto-rheological thin layers and an elastic substrate.First,by adjusting the topological structure,we successfully excited first-order topological states of Lamb waves in numerical simulations.Subsequently,we constructed a two-dimensional topological structure to excite zero-order topological corner states.Given the unique advantages of magnetic fields in regulating material properties and behaviors,we investigated the effects of magnetic fields as an external control mechanism on Lamb waves in magneto-rheological materials.Our analysis focused on the regulation of Lamb wave topological edge states and corner states via magnetic fields.The results demonstrate that by varying the magnetic field strength,we can precisely control the characteristics of the topological states.Magnetic field modulation of the topological states in Lamb waves enables the realization of non-contact,controllable phononic devices,which is of great significance for the development of topological acoustics.展开更多
Pseudo-spin and valley are two significant degrees of freedom in topological photonics,which enable the realization of robust boundary states and consequently tremendous fabrication-tolerant photonic devices.As integr...Pseudo-spin and valley are two significant degrees of freedom in topological photonics,which enable the realization of robust boundary states and consequently tremendous fabrication-tolerant photonic devices.As integration density increases in photonic chips,low-crosstalk waveguide crossings become critical for maintaining overall performance.With conventional waveguide crossings susceptible to defect-induced backscattering,topology can provide a viable solution to this issue.Here,we experimentally demonstrate a topological waveguide crossing based on pseudo-spin-valley-locked domain-wall states.展开更多
High-precision atomic data,including highly excited energy levels and their lifetimes,as well as autoionizing states,are essential for astrophysics,materials science,and energy research applications.Despite the increa...High-precision atomic data,including highly excited energy levels and their lifetimes,as well as autoionizing states,are essential for astrophysics,materials science,and energy research applications.Despite the increasing demand for highprecision databases,the availability of data concerning complex transition-metal atoms remains limited.In this work,we present a systematic high-precision theoretical study of highly excited and autoionizing states of the nickel atom for Jπ=4-symmetry,considering the indispensable correlation effects between bound and continuum configurations.Calculations for discrete highly excited states and autoionizing states are conducted under the same theoretical scheme,which employs the relativistic multichannel theory(RMCT),to obtain an eigenchannel scattering matrix that varies smoothly over a wide energy region.The scattering matrix is then used with the multichannel quantum defect theory(MQDT)to semi-analytically obtain highly excited states and autoionizing states.Excellent agreement is achieved between the theoretical results and existing experimental discrete levels with a maximum of 0.02%deviation.An abnormal lifetime variation of the autoionizing states along the same series is observed.The resonance energy,lifetime,and assignment of autoionizing states are systematically presented for the first time,with the objective of contributing to the fields of astrophysics,materials science,and energy research.The datasets presented in this paper,including the energy levels and lifetimes of autoionizing states,are openly available at http://gffzzd3cc09b8251d45dfs00qq50pvbxpf6ffv.ffgz.tsg.suse.edu.cn/10.57760/sciencedb.j00113.00279.展开更多
In conventional higher-order topological insulators(HOTIs),the emergence of topological states can be explained by using the nonzero bulk polarization index.However,corner states emerge in HOTIs with incomplete bounda...In conventional higher-order topological insulators(HOTIs),the emergence of topological states can be explained by using the nonzero bulk polarization index.However,corner states emerge in HOTIs with incomplete boundary unit cells(i.e.,boundary defects)even though the bulk polarization is zero,which challenges the conventional understanding of HOTIs.Here,based on a Kekul´e-distorted honeycomb lattice with incomplete unit cells,we reveal that incomplete unit cells exhibit fractional charges through the analysis of Wannier centers by developing a compensation method and creating the concept of Wannier center domain(WCD)which is the smallest region that one Wannier center occupies.This method compensates for the missing parts of these boundary incomplete unit cells with additional WCDs to make them complete.The compensated WCDs automatically carry the corresponding charge,and this charge together with that of the incomplete unit cell constitutes the total charge of the complete unit cell after compensation.We conclude that the emergence of corner states is attributed to the filling anomaly,which is a fundamental mechanism.Our results refresh the understanding of HOTIs,especially those with structural discontinuities,and provide a novel design for topological states which have application value in producing optical functional devices.展开更多
Accurate determination of the state of hydrogen(SOH)in solid-state hydrogen storage materials is essential not only for optimizing hydrogen release kinetics and enhancing storage efficiency but also for ensuring syste...Accurate determination of the state of hydrogen(SOH)in solid-state hydrogen storage materials is essential not only for optimizing hydrogen release kinetics and enhancing storage efficiency but also for ensuring system safety in practical applications.While most existing studies have concentrated on thermodynamics and kinetics,direct monitoring of residual hydrogen content,a parameter of critical engineering relevance,has rarely been reported.This highlights the urgent need to realize online SOH detection through new physical properties.In this study,we propose a non-invasive,real-time SOH monitoring strategy for magnesium hydride(MgH2),based on optical properties and combining density functional theory(DFT)-based optical calculations with experimental validation.Using DFT,the optical properties of MgH2and its dehydrogenated form(Mg)were systematically calculated across the infrared,visible,and ultraviolet spectral ranges.Theoretical results revealed strong linear correlations between SOH and specific optical parameters,such as reflectance at1200 nm and 550 nm and refractive index at 250 nm,with the coefficient of determination exceeding 0.99 and mean absolute errors below 0.05.To validate these predictions,reflectance measurements were conducted at 940 nm,a wavelength identified as highly sensitive to hydrogenation,and a consistent decrease in reflectance with increasing hydrogen uptake was observed.The underlying mechanism was attributed to band structure evolution and electron density redistribution,supported by density of states analysis and Drude model interpretations.This work establishes a robust theoretical and experimental framework for optical SOH diagnostics,emphasizes the importance of residual hydrogen detection for advancing solid-state hydrogen storage from fundamental research toward practical engineering applications,and provides new insights into the design of intelligent,optically responsive hydrogen storage systems,paving the way for the development of spectroscopic SOH sensors in next-generation hydrogen energy technologies.展开更多
This study focuses on the synthesis and luminesce nce properties of Ce3+-doped CaSrSiO4 phosphor.Typically,the synthesis of Ce3+luminescent materials requires a reducing atmosphere.In this work,the traditiona...This study focuses on the synthesis and luminesce nce properties of Ce3+-doped CaSrSiO4 phosphor.Typically,the synthesis of Ce3+luminescent materials requires a reducing atmosphere.In this work,the traditional high-temperature solid-phase method was used in air atmosphere with SiC as the reducing material to successfully prepare CaSrSiO4:Ce3+ blue phosphor,and the self-reduction mechanism is discussed.The samples were characterized by X-ray diffraction(XRD),Rietveld refined XRD,scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS),and the characterization results show that the CaSrSiO4 phase is obtained.The resulting phosphor exhibits exceptional brightness in blue light and remarkable thermal stability,with a ratio of 94% at elevated temperatures(423 K/303 K).The Ca1-xSr1-xSiO4:0.015Ce3+,0.015Li+ phosphors were combined with commercial green and red powders to create a white light-emitting diode(WLED) package with 365 nm chips.This results in a WLED with high performance,featuring a high color rendering index of Ra=95 and a correlated color temperature(CCT) of 5373 K.At the same time,a visible light communication system was produced to test the communication bandwidth.Compared with commercial YAG:Ce3+ phosphor and BAM:Eu2+ phosphor,the bandwidth is increased by 40.9% and 1092.3%,respectively.展开更多
With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State I...With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.展开更多
The ionization balance and charge state distribution of partially ionized plasmas are fundamental to predicting the key properties like the equation of state and transport properties.However,its determination remains ...The ionization balance and charge state distribution of partially ionized plasmas are fundamental to predicting the key properties like the equation of state and transport properties.However,its determination remains contentious because of the ambiguous partitioning of electronic states into free and bound components.Here,we present a unified framework that rigorously connects the ionization potential depression,the ionization degree,and the equation of state through the structure factors.By incorporating thermal kinetic bottlenecks and pressure ionization via a modified partition function,and treating ionization potential depression through structure factors,the model resolves longstanding discrepancies in predicted ionization degrees.It accurately reproduces path integral Monte Carlo equations of state of hydrogen plasmas across a broad range of densities and temperatures,clarifies the competing roles of thermal and pressure ionization,and provides a clear link between microscopic electronic structure and macroscopic thermodynamics.This work offers a predictive and thermodynamically consistent foundation for modeling partially ionized plasmas in high energy density and astrophysical contexts.展开更多
Self-trapped excitons(STEs),known for their unique radiative properties,have been harnessed in diverse photonic devices;however,their comprehensive understanding and manipulation remain elusive.In this study,we presen...Self-trapped excitons(STEs),known for their unique radiative properties,have been harnessed in diverse photonic devices;however,their comprehensive understanding and manipulation remain elusive.In this study,we present novel experimental and theoretical evidence revealing the hybrid nature and optical tunability of STE state in Cs2Ag0.4Na0.6InCl6.The detection of the Fano resonance in laser energy-dependent Raman and photoluminescence spectra indicates the emergence of an exciton-phonon hybrid state,arising from robust quantum interference between the discrete phonon and continuum exciton states.Moreover,we demonstrate continuous tuning of this hybrid state with the energy and intensity of the laser field.These findings lay the foundation for a comprehensive understanding of the nature of STE and their potential for state control.展开更多
Qubit-resolved operations and measurements are required for most current quantum information processing schemes.However,these operations can be experimentally costly due to the need for local addressing,demanding sign...Qubit-resolved operations and measurements are required for most current quantum information processing schemes.However,these operations can be experimentally costly due to the need for local addressing,demanding significant classical control.A more resource-efficient alternative to extract information is uniform measurement,where a site-independent rotation of qubits is performed before mea-suring in the computational basis.This operation can be performed in parallel,or globally,in atom-and ion-based platforms,reducing resource cost and increasing fidelity.In this work,we initiate the exploration of the utility of this operation in quantum information processing.In particular,we demonstrate that uniform measurements can certify certain graph states,a family of highly entangled and broadly useful quantum states.We provide a sample-efficient certification algorithm with a proved performance guarantee,together with an experimental scheme based on analog-mode Rydberg atom arrays.Uniform measurements,therefore,allow direct and efficient char-acterization of quantum states on quantum platforms in a hitherto unexplored manner.More broadly,our work establishes"uniformity"as a meaningful and practically motivated resource rubric for quantum information processing,and offers new insights into the architec-tural design of quantum computing devices.展开更多
Droplet rebound is a key topic in interfacial physics and fluid mechanics,with important applications in industry,energy,and biomedicine.Based on the principle of energy conservation,a theoretical model was developed ...Droplet rebound is a key topic in interfacial physics and fluid mechanics,with important applications in industry,energy,and biomedicine.Based on the principle of energy conservation,a theoretical model was developed to describe droplet rebound on anisotropic superhydrophobic surfaces,providing functional relationships between the rebound direction and velocity of the droplet and the structural characteristic parameters.Combined with numerical simulations and experimental characterization,it was found that a stable Cassie state reduces energy dissipation during the droplet spreading and rebound process,facilitating low energy rebound.Moreover,under different parameter conditions,droplets can exhibit completely opposite motion on anisotropic surfaces.With the increase of the proportion of structures in the Wenzel wetting state,the droplet rebound direction gradually shifts from opposite to the structural inclination to the same direction.Furthermore,the droplet spreading and rebound process is primarily influenced by the droplet’s initial state and the surface compressive stability.Through force-material optimized design,the fabricated biomimetic surface enables droplets to maintain a Cassie state with minimal energy dissipation even at We=18,reducing the required Weber number by 35%compared with the rebound distance in the Wenzel state.This study further refines the mechanical model of droplet rebound,addressing challenges such as the precise control of droplet motion.展开更多
Colorectal cancer(CRC)is a prevalent disease,with polyps serving as its precursors.Accurate polyp segmentation is crucial for early CRC prevention.However,due to different sizes of the polyps,the boundaries are not cl...Colorectal cancer(CRC)is a prevalent disease,with polyps serving as its precursors.Accurate polyp segmentation is crucial for early CRC prevention.However,due to different sizes of the polyps,the boundaries are not clear.Therefore,accurate segmentation of polyps is a challenging task.This paper proposes vision Mamba attention feature fusion UNet(VMA-UNet),a U-shaped asymmetric codec structure model grounded in the state space model(SSM).The VMA-UNet incorporates attention feature fusion(AFF)in order to enhance the feature representation of small polyps.A new IUD loss function,namely combining intersection over union(IoU)loss function and Dice loss function,is proposed to address both large polyps and small polyps,and to mitigate the issue of data imbalance.When applied to multiple datasets,VMA-UNet demonstrates robust performance,particularly in small polyp segmentation,showcasing its practical value.The network proposed in this paper overcomes the inherent shortcomings of convolutional neural network(CNN)and transformers,not only performing well in remote interaction modeling,but also maintaining linear computational complexity.Our study introduces a new method for polyp segmentation based on SSM and advances the field.展开更多
Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral lo...Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral load resisting system.To effectively assess the potential vulnerability of structural systems across different levels of seismic demands,it is important to establish clear,quantitative thresholds for specific damage states,especially for the critical structural components within a building system.The currently available damage state definitions for RC structural walls are based on empirical limits and do not provide predictions for damage thresholds based on key design characteristics of a wall.To address this challenge,the present study employs genetic programming(GP),a form of artificial intelligence,to formulate accurate expressions for drift prediction for various damage states,using a dataset of 8,125 analytically studied specimens of RC structural walls.These expressions take into account the effects of various design characteristics,such as wall aspect ratio,axial load ratio,boundary element longitudinal reinforcement ratio,web longitudinal reinforcement ratio,and ratio of boundary element length to wall length in determining deformation limits.The developed prediction models have been evaluated for accuracy and validity using various statistical measures.In addition,the proposed equations have been compared with other available deformation limits in relevant design standards and the available literature to predict experimental results of RC wall components.The findings of these analyses indicate that the developed expressions provide significantly higher accuracy and superior predictions compared to existing empirical damage state definitions.展开更多
State estimation under anomalies such as disturbances and faults remains a fundamental challenge in nonlinear systems,with its difficulty further exacerbated by potential network attacks.This study investigates fast a...State estimation under anomalies such as disturbances and faults remains a fundamental challenge in nonlinear systems,with its difficulty further exacerbated by potential network attacks.This study investigates fast anomaly detection and state estimation for perturbed nonlinear systems where actual outputs may be anomalous over a prolonged period.First,a fixedtime observer is constructed.By leveraging integral-type composite Lyapunov functions and homogeneity theory,the error bounds are proven under varying scenarios involving model disturbances,measurement noise,and nonlinearity.Based on these bounds,a fast anomaly detection mechanism is designed.Next,a cascade predictor is developed based on the fixed-time observer,which uses historical outputs from a previous time window to predict the current system state.Simultaneously,an algorithm is proposed to determine the reference historical output based on anomaly detection results,improving long-term prediction accuracy and mitigating the impact of anomaly detection delays.Finally,the secure state estimation is derived by fusing states from the fixed-time observer and the cascade predictor,depending on the anomaly detection results.The effectiveness of the proposed method is demonstrated through simulations on autonomous vehicles.展开更多
Biofabrication and biomedical manufacturing are inherently multidisciplinary,integrating living systems with advanced manufacturing to create functional products for applications spanning regenerative engineering and ...Biofabrication and biomedical manufacturing are inherently multidisciplinary,integrating living systems with advanced manufacturing to create functional products for applications spanning regenerative engineering and medicine,in vitro disease modeling,drug discovery,and medical devices.As these technologies develop,they are emerging as core enablers of next generation healthcare and life-science innovation.In the United States(U.S.),rapid progress across fabrication processes,material systems,physics-based modeling,and translation-oriented strategies is expanding the achievable design space and accelerating movement from laboratory demonstrations toward clinical and commercial deployment.We introduce major U.S.research frontiers and highlight representative advances in this field that support applications including organoids and other microphysiological systems for in vitro testing,engineered tissue constructs for in vivo use,and medical devices and biohybrid platforms.We further provide an outlook on advancing robust,ethical biofabrication and biomedical manufacturing in the U.S.research ecosystem.展开更多
Bound states in the continuum(BICs) have emerged at the forefront of optics and nanophotonics due to their exceptionally high quality-factors and unique topological characteristics. Advances in design capabilities,nan...Bound states in the continuum(BICs) have emerged at the forefront of optics and nanophotonics due to their exceptionally high quality-factors and unique topological characteristics. Advances in design capabilities,nanofabrication and characterization have enabled precise control of BIC resonances at subwavelength scale, unlocking exciting opportunities for applications in diverse areas such as lasing, optical sensing and nonlinear optics. The integration of phase-change materials and liquid crystals has facilitated dynamic control over light emission and absorption. In this Review, we provide a comprehensive overview of the latest progress in BIC research, covering both foundational concepts and recent advances. We begin with the underlying physics and highlight emerging design strategies, including machine learning and inverse design approaches. We discuss major breakthroughs in super-BICs, chiral BICs, intriguing concepts of flatband BICs and Moiré BICs, along with exotic phenomena, such as strong light-matter interaction, ultrafast dynamics and exceptional points. We further review the recent advancements and key challenges in BIC-enabled applications. Finally, we offer our perspectives on the promising future of BIC in fundamental research emphasizing emerging directions such as multilayer metasurfaces, interfacing BICs with quantum emitters, new capabilities enabled by advanced fabrication and design, and pathways towards scalable integration into photonic BIC metadevices.展开更多
Surface passivation via two-dimensional(2D)perovskite has emerged as a promising strategy to enhance the performance of perovskite solar cells(PSCs)due to the effective compensation of interfacial states.However,the i...Surface passivation via two-dimensional(2D)perovskite has emerged as a promising strategy to enhance the performance of perovskite solar cells(PSCs)due to the effective compensation of interfacial states.However,the in situ grown 2D perovskite passivation layers typically comprise a mixture of multiple dimensionalities at the interface,where band alignment has only been portrayed qualitatively and empirically.Herein,the interface states for precisely phase-tailored 2D perovskite passivated PSCs are quantitatively investigated.In comparison to traditional passivation molecules,2D perovskite layers based on 4-trifluoromethyl-phenylethylammonium iodide(CF3PEAI)exhibit an increased work function,introducing desirable downward band bending to eliminate the Schottky Barrier.Furthermore,precisely phase-tailored 2D layers could modulate the interface trap density and energetics.The n=1 film delivers optimal performance with a hole extraction efficiency of 95.1%.The optimized n-i-p PSCs in the two-step method significantly improve PCE to 25.40%,along with enhanced photostability and negligible hysteresis.It highlights that tailoring in the composition and phase distribution of the 2D perovskite layer could modulate the interface states at the 2D/3D interface.展开更多
基金partial support from Hong Kong RGCpartly supported by the National Natural Science Foundation of China(Grant Nos.12504562 and 12474218)the HNNSF(Grant No.2024JJ2061)。
摘要Edge states hybridize in finite-size topological materials,opening a gap between edge states which weakens the topological protection.Recent studies discover the recovery of zero modes in the finite-size non-Hermitian Su-Schrieffer-Heeger photonic lattices,which is of significance for fault-tolerant photonic integrations.In this paper,we reveal that the underlying mechanism is level attraction,a phenomenon common in non-Hermitian systems.
基金supported by the National Natural Science Foundation of China(Grant Nos.12574477 and 52227901)the Fundamental Research Funds for the Central Universities(Grant No.2023ZDYQ11003).
摘要The chiral edge states in the Haldane model and the antichiral edge states in the modified Haldane model have been extensively studied,revealing intriguing transport properties.In this work,the frequency-dependent spatial regulation of chiral and antichiral edge states is investigated in gyromagnetic photonic crystals through sublattice modulation.The unequal magnetization intensity on two-type sublattices,breaking the inversion symmetry,leads to the shift of the chiral edge state dispersions and the lifting of the degenerate antichiral edge states.Through simulations and experiments,we demonstrate that,under sublattice modulation,the transport efficiency of chiral and antichiral edge states at different edges is actively controlled,breaking through the functional limitations of conventional models.Based on this mechanism,a multi-channel waveguide is proposed,providing a new path for the functional innovation and system integration of topological photonic devices.
基金supported by the Major Project for the Integration of ScienceEducation and Industry (Grant No.2025ZDZX02)。
摘要Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and viable quantum algorithms for simulating large-scale materials are still limited.We propose and implement random-state quantum algorithms to calculate electronic-structure properties of real materials.Using a random state circuit on a small number of qubits,we employ real-time evolution with first-order Trotter decomposition and Hadamard test to obtain electronic density of states,and we develop a modified quantum phase estimation algorithm to calculate real-space local density of states via direct quantum measurements.Furthermore,we validate these algorithms by numerically computing the density of states and spatial distributions of electronic states in graphene,twisted bilayer graphene quasicrystals,and fractal lattices,covering system sizes from hundreds to thousands of atoms.Our results manifest that the random-state quantum algorithms provide a general and qubit-efficient route to scalable simulations of electronic properties in large-scale periodic and aperiodic materials.
基金supported by the National Natural Science Foundation of China(Grant No.12202117)the specialized research projects of Huanjiang Laboratory,Zhuji,Zhejiang Provincethe Natural Science Foundation of Zhejiang Province(Grant No.LD21A020001).
摘要Recently,the concept of higher-order topological insulators has aroused widespread attention and research interest.However,current studies have predominantly focused on the domain of acoustic waves.Compared to acoustic waves,elastic waves are vector waves,making their study more complex and challenging.Therefore,achieving higher-order topological states in elastic waves holds significant research value.In this paper,we proposed the design of an intelligent topological metamaterial,which is composed of magneto-rheological thin layers and an elastic substrate.First,by adjusting the topological structure,we successfully excited first-order topological states of Lamb waves in numerical simulations.Subsequently,we constructed a two-dimensional topological structure to excite zero-order topological corner states.Given the unique advantages of magnetic fields in regulating material properties and behaviors,we investigated the effects of magnetic fields as an external control mechanism on Lamb waves in magneto-rheological materials.Our analysis focused on the regulation of Lamb wave topological edge states and corner states via magnetic fields.The results demonstrate that by varying the magnetic field strength,we can precisely control the characteristics of the topological states.Magnetic field modulation of the topological states in Lamb waves enables the realization of non-contact,controllable phononic devices,which is of great significance for the development of topological acoustics.
基金National Key Research and Development Program of China(2022YFA1404304)National Natural Science Foundation of China(12374364)Basic and Applied Basic Research Foundation of Guangdong Province(2023B1515040023)。
摘要Pseudo-spin and valley are two significant degrees of freedom in topological photonics,which enable the realization of robust boundary states and consequently tremendous fabrication-tolerant photonic devices.As integration density increases in photonic chips,low-crosstalk waveguide crossings become critical for maintaining overall performance.With conventional waveguide crossings susceptible to defect-induced backscattering,topology can provide a viable solution to this issue.Here,we experimentally demonstrate a topological waveguide crossing based on pseudo-spin-valley-locked domain-wall states.
基金supported by the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.12404296)the Original Exploration Program of the National Natural Science Foundation of China(Grant No.12450404)supported by the National Natural Science Foundation of China(Grant No.U2430208)。
摘要High-precision atomic data,including highly excited energy levels and their lifetimes,as well as autoionizing states,are essential for astrophysics,materials science,and energy research applications.Despite the increasing demand for highprecision databases,the availability of data concerning complex transition-metal atoms remains limited.In this work,we present a systematic high-precision theoretical study of highly excited and autoionizing states of the nickel atom for Jπ=4-symmetry,considering the indispensable correlation effects between bound and continuum configurations.Calculations for discrete highly excited states and autoionizing states are conducted under the same theoretical scheme,which employs the relativistic multichannel theory(RMCT),to obtain an eigenchannel scattering matrix that varies smoothly over a wide energy region.The scattering matrix is then used with the multichannel quantum defect theory(MQDT)to semi-analytically obtain highly excited states and autoionizing states.Excellent agreement is achieved between the theoretical results and existing experimental discrete levels with a maximum of 0.02%deviation.An abnormal lifetime variation of the autoionizing states along the same series is observed.The resonance energy,lifetime,and assignment of autoionizing states are systematically presented for the first time,with the objective of contributing to the fields of astrophysics,materials science,and energy research.The datasets presented in this paper,including the energy levels and lifetimes of autoionizing states,are openly available at http://gffzzd3cc09b8251d45dfs00qq50pvbxpf6ffv.ffgz.tsg.suse.edu.cn/10.57760/sciencedb.j00113.00279.
基金supported by the Natural Science Basic Research Program of Shaanxi Province (Grant Nos.2024JC-JCQN-06 and2025JC-QYCX-006)the National Natural Science Foundation of China (Grant No.12474337)Chinese Academy of Sciences Project (Grant Nos.E4BA270100,E4Z127010F,E4Z6270100,and E53327020D)。
摘要In conventional higher-order topological insulators(HOTIs),the emergence of topological states can be explained by using the nonzero bulk polarization index.However,corner states emerge in HOTIs with incomplete boundary unit cells(i.e.,boundary defects)even though the bulk polarization is zero,which challenges the conventional understanding of HOTIs.Here,based on a Kekul´e-distorted honeycomb lattice with incomplete unit cells,we reveal that incomplete unit cells exhibit fractional charges through the analysis of Wannier centers by developing a compensation method and creating the concept of Wannier center domain(WCD)which is the smallest region that one Wannier center occupies.This method compensates for the missing parts of these boundary incomplete unit cells with additional WCDs to make them complete.The compensated WCDs automatically carry the corresponding charge,and this charge together with that of the incomplete unit cell constitutes the total charge of the complete unit cell after compensation.We conclude that the emergence of corner states is attributed to the filling anomaly,which is a fundamental mechanism.Our results refresh the understanding of HOTIs,especially those with structural discontinuities,and provide a novel design for topological states which have application value in producing optical functional devices.
基金funded by the Natural Science Foundation of Hebei Province,China(No.E2023502006)the Fundamental Research Fund for the Central Universities,China(No.2025MS131)。
摘要Accurate determination of the state of hydrogen(SOH)in solid-state hydrogen storage materials is essential not only for optimizing hydrogen release kinetics and enhancing storage efficiency but also for ensuring system safety in practical applications.While most existing studies have concentrated on thermodynamics and kinetics,direct monitoring of residual hydrogen content,a parameter of critical engineering relevance,has rarely been reported.This highlights the urgent need to realize online SOH detection through new physical properties.In this study,we propose a non-invasive,real-time SOH monitoring strategy for magnesium hydride(MgH2),based on optical properties and combining density functional theory(DFT)-based optical calculations with experimental validation.Using DFT,the optical properties of MgH2and its dehydrogenated form(Mg)were systematically calculated across the infrared,visible,and ultraviolet spectral ranges.Theoretical results revealed strong linear correlations between SOH and specific optical parameters,such as reflectance at1200 nm and 550 nm and refractive index at 250 nm,with the coefficient of determination exceeding 0.99 and mean absolute errors below 0.05.To validate these predictions,reflectance measurements were conducted at 940 nm,a wavelength identified as highly sensitive to hydrogenation,and a consistent decrease in reflectance with increasing hydrogen uptake was observed.The underlying mechanism was attributed to band structure evolution and electron density redistribution,supported by density of states analysis and Drude model interpretations.This work establishes a robust theoretical and experimental framework for optical SOH diagnostics,emphasizes the importance of residual hydrogen detection for advancing solid-state hydrogen storage from fundamental research toward practical engineering applications,and provides new insights into the design of intelligent,optically responsive hydrogen storage systems,paving the way for the development of spectroscopic SOH sensors in next-generation hydrogen energy technologies.
基金Project supported by National Natural Science Foundation of China(U22A2008)
摘要This study focuses on the synthesis and luminesce nce properties of Ce3+-doped CaSrSiO4 phosphor.Typically,the synthesis of Ce3+luminescent materials requires a reducing atmosphere.In this work,the traditional high-temperature solid-phase method was used in air atmosphere with SiC as the reducing material to successfully prepare CaSrSiO4:Ce3+ blue phosphor,and the self-reduction mechanism is discussed.The samples were characterized by X-ray diffraction(XRD),Rietveld refined XRD,scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS),and the characterization results show that the CaSrSiO4 phase is obtained.The resulting phosphor exhibits exceptional brightness in blue light and remarkable thermal stability,with a ratio of 94% at elevated temperatures(423 K/303 K).The Ca1-xSr1-xSiO4:0.015Ce3+,0.015Li+ phosphors were combined with commercial green and red powders to create a white light-emitting diode(WLED) package with 365 nm chips.This results in a WLED with high performance,featuring a high color rendering index of Ra=95 and a correlated color temperature(CCT) of 5373 K.At the same time,a visible light communication system was produced to test the communication bandwidth.Compared with commercial YAG:Ce3+ phosphor and BAM:Eu2+ phosphor,the bandwidth is increased by 40.9% and 1092.3%,respectively.
基金supported by National Natural Science Foundation of China(NSFC)under grant U23A20310.
摘要With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.
基金supported by the Science Challenge Project(Grant No.TZ2025013)the National Natural Science Foundation of China(Grant Nos.12474277,U2430208,and 12274384)。
摘要The ionization balance and charge state distribution of partially ionized plasmas are fundamental to predicting the key properties like the equation of state and transport properties.However,its determination remains contentious because of the ambiguous partitioning of electronic states into free and bound components.Here,we present a unified framework that rigorously connects the ionization potential depression,the ionization degree,and the equation of state through the structure factors.By incorporating thermal kinetic bottlenecks and pressure ionization via a modified partition function,and treating ionization potential depression through structure factors,the model resolves longstanding discrepancies in predicted ionization degrees.It accurately reproduces path integral Monte Carlo equations of state of hydrogen plasmas across a broad range of densities and temperatures,clarifies the competing roles of thermal and pressure ionization,and provides a clear link between microscopic electronic structure and macroscopic thermodynamics.This work offers a predictive and thermodynamically consistent foundation for modeling partially ionized plasmas in high energy density and astrophysical contexts.
基金funding support from the National Natural Science Foundation of China(Grant No.12525405)funding support from the National Natural Science Foundation of China(Grant No.12393831)the CAS Project for Young Scientists in Basic Research(Grant No.YSBR-120)。
摘要Self-trapped excitons(STEs),known for their unique radiative properties,have been harnessed in diverse photonic devices;however,their comprehensive understanding and manipulation remain elusive.In this study,we present novel experimental and theoretical evidence revealing the hybrid nature and optical tunability of STE state in Cs2Ag0.4Na0.6InCl6.The detection of the Fano resonance in laser energy-dependent Raman and photoluminescence spectra indicates the emergence of an exciton-phonon hybrid state,arising from robust quantum interference between the discrete phonon and continuum exciton states.Moreover,we demonstrate continuous tuning of this hybrid state with the energy and intensity of the laser field.These findings lay the foundation for a comprehensive understanding of the nature of STE and their potential for state control.
基金supported by the Quantum Science and Technology-National Science and Technology Major Project(Grant No.2025ZD0300400)National Natural Science Foundation of China(Grant Nos.12504307 for C.L.and 12575022 for Y.G.)+3 种基金the National Key R&D Program of China(Grant No.2023YFA1406702)the Scientific Research Innovation Capability Support Project for Young Faculty(Grant No.SRICSPYFZY2025157)the Shanghai Committee of Science and Technology(Grant No.25LZ2600800)the Tsinghua University Dushi program(C.L.and Y.G.).
摘要Qubit-resolved operations and measurements are required for most current quantum information processing schemes.However,these operations can be experimentally costly due to the need for local addressing,demanding significant classical control.A more resource-efficient alternative to extract information is uniform measurement,where a site-independent rotation of qubits is performed before mea-suring in the computational basis.This operation can be performed in parallel,or globally,in atom-and ion-based platforms,reducing resource cost and increasing fidelity.In this work,we initiate the exploration of the utility of this operation in quantum information processing.In particular,we demonstrate that uniform measurements can certify certain graph states,a family of highly entangled and broadly useful quantum states.We provide a sample-efficient certification algorithm with a proved performance guarantee,together with an experimental scheme based on analog-mode Rydberg atom arrays.Uniform measurements,therefore,allow direct and efficient char-acterization of quantum states on quantum platforms in a hitherto unexplored manner.More broadly,our work establishes"uniformity"as a meaningful and practically motivated resource rubric for quantum information processing,and offers new insights into the architec-tural design of quantum computing devices.
基金financially supported by the Innovative Group Project of National Natural Science Foundation of China(Grant No.12021002)the National Natural Science Foundation of China(Grant Nos.12372115 and 12172250).
摘要Droplet rebound is a key topic in interfacial physics and fluid mechanics,with important applications in industry,energy,and biomedicine.Based on the principle of energy conservation,a theoretical model was developed to describe droplet rebound on anisotropic superhydrophobic surfaces,providing functional relationships between the rebound direction and velocity of the droplet and the structural characteristic parameters.Combined with numerical simulations and experimental characterization,it was found that a stable Cassie state reduces energy dissipation during the droplet spreading and rebound process,facilitating low energy rebound.Moreover,under different parameter conditions,droplets can exhibit completely opposite motion on anisotropic surfaces.With the increase of the proportion of structures in the Wenzel wetting state,the droplet rebound direction gradually shifts from opposite to the structural inclination to the same direction.Furthermore,the droplet spreading and rebound process is primarily influenced by the droplet’s initial state and the surface compressive stability.Through force-material optimized design,the fabricated biomimetic surface enables droplets to maintain a Cassie state with minimal energy dissipation even at We=18,reducing the required Weber number by 35%compared with the rebound distance in the Wenzel state.This study further refines the mechanical model of droplet rebound,addressing challenges such as the precise control of droplet motion.
基金supported by the Natural Science Research Project of Tianjin Education Commission(No.2020KJ124)the National Natural Science Foundation of China(No.11601372)the National Key Research and Development Program of China(No.2022YFF0706003)。
摘要Colorectal cancer(CRC)is a prevalent disease,with polyps serving as its precursors.Accurate polyp segmentation is crucial for early CRC prevention.However,due to different sizes of the polyps,the boundaries are not clear.Therefore,accurate segmentation of polyps is a challenging task.This paper proposes vision Mamba attention feature fusion UNet(VMA-UNet),a U-shaped asymmetric codec structure model grounded in the state space model(SSM).The VMA-UNet incorporates attention feature fusion(AFF)in order to enhance the feature representation of small polyps.A new IUD loss function,namely combining intersection over union(IoU)loss function and Dice loss function,is proposed to address both large polyps and small polyps,and to mitigate the issue of data imbalance.When applied to multiple datasets,VMA-UNet demonstrates robust performance,particularly in small polyp segmentation,showcasing its practical value.The network proposed in this paper overcomes the inherent shortcomings of convolutional neural network(CNN)and transformers,not only performing well in remote interaction modeling,but also maintaining linear computational complexity.Our study introduces a new method for polyp segmentation based on SSM and advances the field.
摘要Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral load resisting system.To effectively assess the potential vulnerability of structural systems across different levels of seismic demands,it is important to establish clear,quantitative thresholds for specific damage states,especially for the critical structural components within a building system.The currently available damage state definitions for RC structural walls are based on empirical limits and do not provide predictions for damage thresholds based on key design characteristics of a wall.To address this challenge,the present study employs genetic programming(GP),a form of artificial intelligence,to formulate accurate expressions for drift prediction for various damage states,using a dataset of 8,125 analytically studied specimens of RC structural walls.These expressions take into account the effects of various design characteristics,such as wall aspect ratio,axial load ratio,boundary element longitudinal reinforcement ratio,web longitudinal reinforcement ratio,and ratio of boundary element length to wall length in determining deformation limits.The developed prediction models have been evaluated for accuracy and validity using various statistical measures.In addition,the proposed equations have been compared with other available deformation limits in relevant design standards and the available literature to predict experimental results of RC wall components.The findings of these analyses indicate that the developed expressions provide significantly higher accuracy and superior predictions compared to existing empirical damage state definitions.
基金supported in part by the National Natural Science Foundation of China(62403396,U25A20474,62303189,62433018)the China Postdoctoral Science Foundation(2024M762667,2025T180463)。
摘要State estimation under anomalies such as disturbances and faults remains a fundamental challenge in nonlinear systems,with its difficulty further exacerbated by potential network attacks.This study investigates fast anomaly detection and state estimation for perturbed nonlinear systems where actual outputs may be anomalous over a prolonged period.First,a fixedtime observer is constructed.By leveraging integral-type composite Lyapunov functions and homogeneity theory,the error bounds are proven under varying scenarios involving model disturbances,measurement noise,and nonlinearity.Based on these bounds,a fast anomaly detection mechanism is designed.Next,a cascade predictor is developed based on the fixed-time observer,which uses historical outputs from a previous time window to predict the current system state.Simultaneously,an algorithm is proposed to determine the reference historical output based on anomaly detection results,improving long-term prediction accuracy and mitigating the impact of anomaly detection delays.Finally,the secure state estimation is derived by fusing states from the fixed-time observer and the cascade predictor,depending on the anomaly detection results.The effectiveness of the proposed method is demonstrated through simulations on autonomous vehicles.
基金partial support from a U.S.National Science Foundation Engineering Research Center grant EEC-2133630(HAMMER)partial support from a U.S.Department of Defense grant number WSlXWH-15-9-0001+13 种基金Project MTF4supported by the Bradshaw and Holzapfel Research Professor in Transformational Science and Mathematics Fundfunded by the NIH Intramural Research Program and the NIH Helping to End Addiction Long-term(HEAL)initiativesupport from NSF(NSF DMR 2044479)funding support from the NIH(NIH/NICHD R01086201NIH/NHLBI R01179686NIH/NIAMS R01082523NIH/NHLBI R21126004NIH/NICHD R21110874)the National Science Foundation(NSF)(NSF PFI 2314241)support from the National Institutes of Health National Institute of General Medical Sciences grant R35GM142875the support of the NSF Advanced Manufacturing(AM)program Grant 2427645the NSF Engineering of Biomedical Systems(EBMS)program Grant 2110842the support by the Brigham Research Institute。
摘要Biofabrication and biomedical manufacturing are inherently multidisciplinary,integrating living systems with advanced manufacturing to create functional products for applications spanning regenerative engineering and medicine,in vitro disease modeling,drug discovery,and medical devices.As these technologies develop,they are emerging as core enablers of next generation healthcare and life-science innovation.In the United States(U.S.),rapid progress across fabrication processes,material systems,physics-based modeling,and translation-oriented strategies is expanding the achievable design space and accelerating movement from laboratory demonstrations toward clinical and commercial deployment.We introduce major U.S.research frontiers and highlight representative advances in this field that support applications including organoids and other microphysiological systems for in vitro testing,engineered tissue constructs for in vivo use,and medical devices and biohybrid platforms.We further provide an outlook on advancing robust,ethical biofabrication and biomedical manufacturing in the U.S.research ecosystem.
基金financial support from National Research Foundation,Singapore-Frontier Competitive Research Grant (NRF-F-CRP-2024-0009)A*STAR MTC-Programmatic Fund (M24N9b0122)+6 种基金funding support from the National Research Foundation Competitive Research Program (NRF-CRP29-2022-0003)Ministry of Education,Singapore under its AcRF Tier 2 grant (MOE-T2EP50121-0012)AcRF Tier 1 grant (RG140/23)funding support from A*STAR under Career Development Fund (C243512005)support from the National Research Foundation,Singapore under NRF-CRP(NRF-CRP26-2021-0004)the Agency for Science,Technology and Research(A*STAR) under MTC Programmatic Grant (M22L1b0110)the National Semiconductor Translation and Innovation Centre (NSTIC)。
摘要Bound states in the continuum(BICs) have emerged at the forefront of optics and nanophotonics due to their exceptionally high quality-factors and unique topological characteristics. Advances in design capabilities,nanofabrication and characterization have enabled precise control of BIC resonances at subwavelength scale, unlocking exciting opportunities for applications in diverse areas such as lasing, optical sensing and nonlinear optics. The integration of phase-change materials and liquid crystals has facilitated dynamic control over light emission and absorption. In this Review, we provide a comprehensive overview of the latest progress in BIC research, covering both foundational concepts and recent advances. We begin with the underlying physics and highlight emerging design strategies, including machine learning and inverse design approaches. We discuss major breakthroughs in super-BICs, chiral BICs, intriguing concepts of flatband BICs and Moiré BICs, along with exotic phenomena, such as strong light-matter interaction, ultrafast dynamics and exceptional points. We further review the recent advancements and key challenges in BIC-enabled applications. Finally, we offer our perspectives on the promising future of BIC in fundamental research emphasizing emerging directions such as multilayer metasurfaces, interfacing BICs with quantum emitters, new capabilities enabled by advanced fabrication and design, and pathways towards scalable integration into photonic BIC metadevices.
基金supported by the National Natural Science Foundation of China(Nos.62304111,62304110,22579136)the National Key Research and Development Program of China(2024YFE0201800)+6 种基金the China Postdoctoral Science Foundation(No.2024M761492)the Project of State Key Laboratory of Organic Electronics and Information Displays(Nos.GDX2022010009,GZR2023010046)the Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(No.NY223053)the Science and Technology Project of Jiangsu(Science and Technology Cooperation Project of HongKong,Macao and Taiwan,No.BZ2023059)Shaanxi Fundamental Science Research Project for Mathematics and Physics(No.22jSY015)Young Talent Fund of Xi'an Association for Science and Technology(No.959202313020)Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems(No.2023B1212010003).
摘要Surface passivation via two-dimensional(2D)perovskite has emerged as a promising strategy to enhance the performance of perovskite solar cells(PSCs)due to the effective compensation of interfacial states.However,the in situ grown 2D perovskite passivation layers typically comprise a mixture of multiple dimensionalities at the interface,where band alignment has only been portrayed qualitatively and empirically.Herein,the interface states for precisely phase-tailored 2D perovskite passivated PSCs are quantitatively investigated.In comparison to traditional passivation molecules,2D perovskite layers based on 4-trifluoromethyl-phenylethylammonium iodide(CF3PEAI)exhibit an increased work function,introducing desirable downward band bending to eliminate the Schottky Barrier.Furthermore,precisely phase-tailored 2D layers could modulate the interface trap density and energetics.The n=1 film delivers optimal performance with a hole extraction efficiency of 95.1%.The optimized n-i-p PSCs in the two-step method significantly improve PCE to 25.40%,along with enhanced photostability and negligible hysteresis.It highlights that tailoring in the composition and phase distribution of the 2D perovskite layer could modulate the interface states at the 2D/3D interface.