This paper presents an adaptive multi-agent coordination(AMAC)strategy suitable for complex scenarios,which only requires information exchange between neighbouring robots.Unlike traditional multi-agent coordination me...This paper presents an adaptive multi-agent coordination(AMAC)strategy suitable for complex scenarios,which only requires information exchange between neighbouring robots.Unlike traditional multi-agent coordination methods that are solved by neural dynamics,the proposed strategy displays greater flexibility,adaptability and scalability.Furthermore,the proposed AMAC strategy is reconstructed as a time-varying complex-valued matrix equation.By introducing a dynamic error function,a fixed-time convergent zeroing neural network(FTCZNN)model is designed for the online solution of the AMAC strategy,with its convergence time upper bound derived theoretically.Finally,the effectiveness and applicability of the coordination control method are demonstrated by numerical simulations and physical experiments.Numerical results indicate that this method can reduce the formation error to the order of 10-6within 1.8 s.展开更多
Recently,the zeroing neural network(ZNN)has demonstrated remarkable effectiveness in tackling time-varying problems,delivering robust performance across both noise-free and noisy environments.However,existing ZNN mode...Recently,the zeroing neural network(ZNN)has demonstrated remarkable effectiveness in tackling time-varying problems,delivering robust performance across both noise-free and noisy environments.However,existing ZNN models are limited in their ability to actively suppress noise,which constrains their robustness and precision in solving time-varying problems.This paper introduces a novel active noise rejection ZNN(ANR-ZNN)design that enhances noise suppression by integrating computational error dynamics and harmonic behaviour.Through rigorous theoretical analysis,we demonstrate that the proposed ANR-ZNN maintains robust convergence in computational error performance under environmental noise.As a case study,the ANR-ZNN model is specifically applied to time-varying matrix inversion.Comprehensive computer simulations and robotic experiments further validate the ANR-ZNN's effectiveness,emphasising the proposed design's superiority and potential for solving time-varying problems.展开更多
Solving time-varying nonlinear equations in real time is a significant challenge in modern computing.Dynamic Memristor-Inspired Zeroing Neural Networks(DMZNN)have shown strong performance in this field,but their conve...Solving time-varying nonlinear equations in real time is a significant challenge in modern computing.Dynamic Memristor-Inspired Zeroing Neural Networks(DMZNN)have shown strong performance in this field,but their convergence speed and robustness heavily rely on the design of the activation function.This paper proposes a novel hybrid activation function inspired by the nonlinear characteristics of memristors.By integrating cubic and sublinear terms,the proposed function facilitates multi-stage error decay,effectively addressing the slow convergence and poor noise resistance of traditional activation functions.Theoretical analysis shows that the DMZNN model,built upon this activation function,can converge in finite time.Robustness under parameter perturbations and additive noise is rigorously proven using Lyapunov theory.Simulation results demonstrate that the convergence speed of the DMZNN model is obviously faster than that of traditional ZNN models when solving second-order,third-order,and fourth-order time-varying nonlinear equations.Additionally,in the application of remote sensing image fusion,DMZNN outperforms traditional gradient-based methods in both fusion quality and processing speed,demonstrating its practical effectiveness and superiority in real-world applications.展开更多
Zeroing neural dynamic(ZND)model is widely deployed for time-variant non-linear equations(TVNE).Various element-wise non-linear activation functions and integration operations are investigated to enhance the convergen...Zeroing neural dynamic(ZND)model is widely deployed for time-variant non-linear equations(TVNE).Various element-wise non-linear activation functions and integration operations are investigated to enhance the convergence performance and robustness in most proposed ZND models for solving TVNE,leading to a huge cost of hardware implementation and model complexity.To overcome these problems,the authors develop a new norm-based ZND(NBZND)model with strong robustness for solving TVNE,not applying element-wise non-linear activated functions but introducing a two-norm operation to achieve finite-time convergence.Moreover,the authors develop a discretetime NBZND model for the potential deployment of the model on digital computers.Rigorous theoretical analysis for the NBZND is provided.Simulation results substantiate the advantages of the NBZND model for solving TVNE.展开更多
The problem of multi-robot formation is prevalent in scientific and engineering applications,where robots must adapt to uncertain and dynamic behaviors due to real-time environmental or task changes.Traditional method...The problem of multi-robot formation is prevalent in scientific and engineering applications,where robots must adapt to uncertain and dynamic behaviors due to real-time environmental or task changes.Traditional methods struggle to meet the demand for high-precision solutions within finite time frames.Zeroing Neural Networks(ZNNs),which utilize the time derivatives of time-varying coefficients,outperform other networks in handling dynamic system behaviors.This paper marks the first attempt to extend the ZNN approach to address finite-time multi-robot through optimization modeling.We introduce an innovative strategy that employs complex number structures to map robot coordinates,simplifying the computation needed for dynamic formation tasks.Additionally,we present a multi-robot formation strategy that minimizes the distance between neighboring robots while adhering to bias-type center constraint.This is effectively reformulated as a complex-valued time-varying matrix equation.Based on this,two complex-type Finite-Time Zeroing Dynamic Controllers(FTZDC)are designed,with their stability and convergence time bounds rigorously analyzed.Finally,in two specific formation tasks,the proposed strategy and FTZDC models achieve precise multi-robot formation,independent of the robots’initial positions,all within finite time.展开更多
This paper develops a Predefined-Time Convergent and Noise-Tolerant Fractional-Order Zeroing Neural Network(PTC-NT-FOzNN)model,innovatively engineered to tackle Time-Variant Quadratic Programming(TVQP)challenges.The P...This paper develops a Predefined-Time Convergent and Noise-Tolerant Fractional-Order Zeroing Neural Network(PTC-NT-FOzNN)model,innovatively engineered to tackle Time-Variant Quadratic Programming(TVQP)challenges.The PTC-NT-FOzNN,stemming from a novel iteration within the variablegain Zeroing Neural Network(ZNN)spectrum,known as FOzNNs,features diminishing gains over time and marries noise resistance with predefined-time convergence,making it ideal for energy-efficient robotic motion planning tasks.The PTC-NT-FOZNN enhances traditional ZNN models by incorporating a newly developed activation function that promotes optimal convergence irrespective of the model's order.When evaluated against six established ZNNs,the PTC-NT-FOZNN,with parameter 0<α≤1,demonstrates enhanced positional precision and resilience to additive noises,making it exceptionally suitable for TvQP tasks.Thorough practical assessments,including simulations and experiments using a Flexiv Rizon robotic arm,confirm the PTC-NT-FOzNN's capabilities in achieving precise tracking and high computational efficiency,thereby proving its effectiveness for robust kinematic control applications.展开更多
The growing frequency of malicious attacks on Internet of Things(IoT)devices has rendered conventional approaches with static label-dependent risk assessment models obsolete,especially when coping with unknown and con...The growing frequency of malicious attacks on Internet of Things(IoT)devices has rendered conventional approaches with static label-dependent risk assessment models obsolete,especially when coping with unknown and continuously evolving threats.To mitigate these challenges,a novel dynamic trust evaluation framework approach is proposed in this work.The proposed framework utilized unsupervised learning and zero-knowledge proofs to assess device risks in complex environments adaptively,with an accuracy rate of 98.96%for normal clustering and 95.39%for anomalies.K-means clustering algorithm is leveraged to distinguish risk patterns with an additional Decision Tree classification algorithm to analyze the distinguishing characteristics of the behaviors of normal and anomalous devices.The architecture is evaluated in a simulated environment based on real device interaction,with various malicious attacks proportions.In addition,Zero Trust Architecture is integrated into this novel framework to ensure no implicit trust exists between devices,which enforces trust assessment before any collaboration or data exchange.展开更多
This study presents the design and development of an electric-powered workboat for application in a hydro-floating solar hybrid system,with the objective of supporting the operation and maintenance of such systems thr...This study presents the design and development of an electric-powered workboat for application in a hydro-floating solar hybrid system,with the objective of supporting the operation and maintenance of such systems through efficient and environmentally friendly transportation.The research addresses key design challenges,including stability,maneuverability,and the integration of renewable energy sources.Computational Fluid Dynamics(CFD)simulations were employed to analyze resistance,wave patterns,and effective power,while Maxsurf software was used to evaluate vessel stability.The results indicate that the electric-powered workboat achieves a maximum speed of 21 km/h and demonstrates optimal energy efficiency at operating speeds of 18–19 km/h.In addition,assessments of noise levels,wave patterns,and environmental performance were conducted within the context of the Hydro-Floating Solar Hybrid System at Sirindhorn Dam.The findings confirm the feasibility and effectiveness of electric-powered workboats utilizing renewable energy sources,highlighting their potential contribution to sustainable waterway transportation infrastructure.展开更多
While desalination is a key solution for global freshwater scarcity,its implementation faces environmental challenges due to concentrated brine byproducts mainly disposed of via coastal discharge systems.Solar interfa...While desalination is a key solution for global freshwater scarcity,its implementation faces environmental challenges due to concentrated brine byproducts mainly disposed of via coastal discharge systems.Solar interfacial evaporation offers sustainable management potential,yet inevitable salt nucleation at evaporation interfaces degrades photothermal conversion and operational stability via light scattering and pathway blockage.Inspired by the mangrove leaf,we propose a photothermal 3D polydopamine and polypyrrole polymerized spacer fabric(PPSF)-based upward hanging model evaporation configuration with a reverse water feeding mechanism.This design enables zero-liquiddischarge(ZLD)desalination through phase-separation crystallization.The interconnected porous architecture and the rough surface of the PPSF enable superior water transport,achieving excellent solar-absorbing efficiency of 97.8%.By adjusting the tilt angle(θ),the evaporator separates the evaporation and salt crystallization zones via controlled capillary-driven brine transport,minimizing heat dissipation from brine discharge.At an optimal tilt angle of 52°,the evaporator reaches an evaporation rate of 2.81 kg m−2 h−1 with minimal heat loss(0.366 W)under 1-sun illumination while treating a 7 wt%waste brine solution.Furthermore,it sustains an evaporation rate of 2.71 kg m−2 h−1 over 72 h while ensuring efficient salt recovery.These results highlight a scalable,energy-efficient approach for sustainable ZLD desalination.展开更多
To calculate the biological zero and the effective accumulated temperature(EAT)for gonadal development in one-and two-year-old diploid and tetraploid Pacific oysters(Crassostrea gigas),four indoor heating experiments ...To calculate the biological zero and the effective accumulated temperature(EAT)for gonadal development in one-and two-year-old diploid and tetraploid Pacific oysters(Crassostrea gigas),four indoor heating experiments were carried out in2022-2024.The biological zeros of diploids and tetraploids were 7.84℃and 7.45℃,respectively.The EAT in diploids was lower than that in tetraploids,at 389.05℃×d and 546.95℃×d,respectively.Histological analysis indicated that gonadal development was more rapid in diploids than in tetraploids.Simultaneously,one-and two-year-old diploid and tetraploid oysters had the same EAT.The proportion of females dominated all four study groups,especially the tetraploids.Age and ploidy did not significantly influence the cumulative survival rate(CSR).Gonadal development and warm temperatures may be the primary causes of mortality.The incremental survival rate(ISR)during the first half of the entire experimental cycle(ISR1)was markedly higher than that of the second half(ISR2)in both the diploid and tetraploid groups.These results suggest that one-and two-year-old tetraploid oysters could be used for the large-scale production of triploids by providing indoor heating.展开更多
Analytically connecting equilibrium criticality and dynamical quantum phase transitions(DQPTs)under complex driving fields remains a significant challenge,primarily due to the combinatorial complexity of non-local lon...Analytically connecting equilibrium criticality and dynamical quantum phase transitions(DQPTs)under complex driving fields remains a significant challenge,primarily due to the combinatorial complexity of non-local long-range entanglement.Here,we decode this connection in the 2D strongly interacting Wen-plaquette model.By mapping its anyonic excitations to 1D effective dissipative channels,we reveal that microscopic single-particle fidelity zeros exactly reconstruct the macroscopic equilibrium topological phase boundaries.Beyond equilibrium,we demonstrate that during non-unitary quench dynamics,these very same static singularities enforce a momentumspace exclusion against dynamical Fisher zeros.Furthermore,a newly identified dissipation-phase racing mechanism prematurely depletes the decaying mode,suppressing DQPTs and generating topologically trivial steady states.Our results establish exact microscopic static singularities as an analytical decoder for macroscopic non-unitary topological dynamics involving discrete symmetry breaking.展开更多
The United Nations Sustainable Development Goal(SDG) 2 aims to achieve Zero Hunger by 2030.However,global hunger and food insecurity have continued to rise at an alarming rate(UN 2023).Subtropical regions are home to ...The United Nations Sustainable Development Goal(SDG) 2 aims to achieve Zero Hunger by 2030.However,global hunger and food insecurity have continued to rise at an alarming rate(UN 2023).Subtropical regions are home to more than 30% of the world's population,predominantly in developing countries where per capita farmland and food supply are only 40% of those in developed nations(FAO 2018).Meeting the Zero Hunger target amid ongoing population growth in these regions requires a substantial increase in agricultural production while minimizing soil degradation and adverse ecological impacts.This challenge is shared by many countries across South Asia,Africa,and Central and South America.展开更多
Majorana surface states in time-reversal invariant(TRI)topological superconductors(TSCs)typically exhibit a highly anisotropic magnetic response,a phenomenon termed“Majorana Ising spins.”This Ising character is gove...Majorana surface states in time-reversal invariant(TRI)topological superconductors(TSCs)typically exhibit a highly anisotropic magnetic response,a phenomenon termed“Majorana Ising spins.”This Ising character is governed by the crystalline symmetries protecting the topological phase.In this work,we investigate the orientation and tunability of Majorana Ising spins within TRI TSCs engineered in two-dimensional spin–orbit coupled systems proximitized to an extended swave superconductor.We demonstrate that the interplay between Rashba and Dresselhaus spin–orbit couplings(SOC)plays a decisive role in determining the Ising spin orientation.In the limit of pure Rashba SOC,the Ising spin aligns along the x-axis,protected by mirror symmetry Mx,whereas for pure Dresselhaus SOC,it orients along the y-axis,protected by the rotational symmetry C2y.Crucially,we reveal that when both Rashba and Dresselhaus interactions coexist,the Ising spin direction becomes continuously tunable within the basal plane.By adjusting the relative strengths of the SOC parameters—experimentally accessible via gating in semiconductor heterostructures—any orientation between the xand y axes can be achieved.We validate these findings by calculating the topological winding number W and elucidating the symmetry-protection mechanism for the tunable phases.Our results propose a pathway for manipulating Majorana fermions in quantum devices through purely electrical means,bridging the gap between symmetry-protected topology and functional spintronic applications.展开更多
Moirésuperlattice based on rhombohedral graphene is an emerging strongly correlated platform for exploring novel quantum states and phase transitions.Here,we report the observation of symmetry-breaking states and...Moirésuperlattice based on rhombohedral graphene is an emerging strongly correlated platform for exploring novel quantum states and phase transitions.Here,we report the observation of symmetry-breaking states and phase transitions in a newly discovered twisted rhombohedral trilayer-bilayer graphene(tRTBG)moirésuperlattice.At zero magnetic fields,we observe displacement field-driven resistance jumps and hysteresis loops across the symmetry-breaking phase boundaries,providing evidence for first-order phase transitions.The observation of hysteresis loops driven by out-of-plane and in-plane magnetic fields at the boundaries reveals the lifted spin degeneracy in symmetry-breaking metals and correlated insulators.We further investigate the evolution of symmetry-breaking phases and their phase boundaries under finite magnetic fields,revealing rich competition between states with different symmetries.Our findings uncover the isospin-polarized order in correlated states and enrich the phase diagram of tRTBG,providing new insights into interaction-driven phases in twisted rhombohedral graphene.展开更多
Researchers have achieved remarkable control over material properties by designing novel architectures,particularly for tuning Poisson’s ratio.Despite abundant existing approaches,significant design space remains une...Researchers have achieved remarkable control over material properties by designing novel architectures,particularly for tuning Poisson’s ratio.Despite abundant existing approaches,significant design space remains unexplored.This work presents two metamaterial designs exhibiting directionally dependent zero Poisson’s ratio,i.e.,one-way zero Poisson’s ratio.In other loading directions,these metamaterials display positive or negative Poisson’s ratio.This selectivity stems from a mode switching mechanism between“unbuckling”and“buckling”of well-designed members within the metamaterials.Theoretical analysis reveals the conditions governing this mode switch,numerical simulation and experiments confirm the one-way Poisson’s effect.Furthermore,the high stiffness contrast within these buckling-prone members yields a pronounced asymmetry in equivalent moduli of the metamaterials under tension and compression,breaking the inherent symmetry of the elastic matrix of conventional materials.This asymmetry is then exploited to design metamaterial beams with asymmetric bending stiffness.Our findings and the design strategy presented here pave the way for developing advanced metamaterials with previously unattainable and unexpected Poisson’s ratios.展开更多
The Ok null test can not only assess whether the cosmic curvature is zero—thereby,if true,reducing degeneracies between cosmic curvature and other cosmological parameters—but also provide a model-independent chec...The Ok null test can not only assess whether the cosmic curvature is zero—thereby,if true,reducing degeneracies between cosmic curvature and other cosmological parameters—but also provide a model-independent check of compatibility between different data sets.However,traditional implementations often require absolute distance data from Type Ia supernovae(SNe Ia)or baryon acoustic oscillation(BAO)measurements,limiting their applicability because such absolute distance data are usually not accessible.The BAO Alcock-Paczynski(AP)parameter FAP is a measurement of a distance ratio,making the Dark Energy Spectroscopic Instrument(DESI)AP measurements particularly well suited for the Oknull test,as no absolute distance measurements are required.We propose a novel null test of cosmic curvature tailored to DESI BAO data that combines FAPwith ratios such as D′V/DVor D′M/DM.Crucially,this construction eliminates the need for absolute distance measurements.We further develop multi-task Gaussian processes to perform the null test.This approach can also be applied to a joint DESI BAO and SNe Ia dataset,and we find that DESI BAO and SNe Ia data are compatible.Although there is~2σ evidence of nonzero curvature at low redshift z■0.5,this result is not conclusive,largely due to the lack of observational data in the corresponding redshift range.展开更多
Selenium(Se)serves as a trace element essential for the human body owing to its significant physiological functions and extensive pharmacological effects.The Se required by the human body is primarily obtained from so...Selenium(Se)serves as a trace element essential for the human body owing to its significant physiological functions and extensive pharmacological effects.The Se required by the human body is primarily obtained from soil-derived foods.This study revealed Se-rich soils covering a certain area and Se-rich edible wild mushrooms with high Se accumulation rates in Chuxiong,central Yunnan Province,China through a geochemical survey of soil quality.Furthermore,this study investigated the Se migration and transformation mechanisms in the soil-wild mushroom system,aiming to provide a scientific basis for the development and planning of Se-rich green foods in the study area.Using the geochemical data of samples collected from topsoils,deep soils,and wild mushrooms and their root soils in Nanhua County,Chuxiong,this study analyzed the Se contents in soils and wild mushrooms and their root soils and explored the mechanisms and influencing factors of Se enrichment in wild mushrooms.The results indicate that the topsoils in the study area exhibit Se contents ranging from 0.07 mg/kg to 0.95 mg/kg,with an arithmetic average of 0.25 mg/kg.The Se-rich soils cover an area of 356 km2,which accounts for 13.07% of the total topsoil area.The wild mushrooms in the study area display Se contents varying from 0.004 mg/kg to 47.10 mg/kg,with a median of 0.977 mg/kg.The analyses of Moran’s index and semivariogram indicate that the Se content distributions in both topsoils and deep soils in the study area exhibit distinct spatial structures.Specifically,the semivariogram model for the Se content in the deep soils emerges as a Gaussian model,and the Se content exhibits a nugget-to-sill ratio of 21.72%,suggesting that the Se content in deep soils is primarily influenced by structural factors such as parent materials.Se in the soils originates primarily from soil-forming parent rocks,with the origin of the Se-rich soils closely related to Triassic black shales,thin coal seams,and metamorphic rocks in the Ailao Mountain area.The wild mushrooms in the study area enjoy significantly higher Se content than other reported naturally Se-rich agricultural products,with a Se accumulation rate of up to 92.31%and an overall over-limit ratio of Pb and Cd of merely 11.54%,suggesting that the study area has substantial potential for the development of naturally Se-rich green foods.The wild mushrooms in the study area exhibit bioconcentration factors(BCFs)of Se ranging from 0.02 to 157.00(median:4.26),with Se bioavailability decreasing in the order of Boletus edulis,Boletus aereus,Leccinum nigrescens,Ramaria botrytoides,and Russula virescens.For the Se absorption and enrichment in the wild mushrooms,the primary controlling factor is identified as the wild mushroom species.Furthermore,they are significantly influenced by the Se content in soils but are minimally affected by the physicochemical indicators of soils.展开更多
We develop a new method to study the ground state energy of the one-dimensional supersymmetric t-J model with open boundary conditions.The eigenvalues of the nested transfer matrix are characterized by the zero roots ...We develop a new method to study the ground state energy of the one-dimensional supersymmetric t-J model with open boundary conditions.The eigenvalues of the nested transfer matrix are characterized by the zero roots of corresponding polynomials instead of the T-Q relation and Bethe roots.The distribution of zero roots at the ground state is studied.We find that the zero roots form two-string pairs,finite pure real and pure imaginary boundary strings.Based on the distribution of zero roots,we obtain the ground state energy of the system in the thermodynamic limit.展开更多
Multi-principal-element alloys(MPEAs)have emerged as a transformative class of metallic materials,surpassing conventional alloys due to their“four core effects”.The inherent compositional complexity and programmable...Multi-principal-element alloys(MPEAs)have emerged as a transformative class of metallic materials,surpassing conventional alloys due to their“four core effects”.The inherent compositional complexity and programmable multifunctionality of MPEAs collectively drive their emergence as a vanguard in materials innovation.By synergistically modulating metastable engineering and magnetovolume effects,we developed a MPEA(Fe,Co,Cr)100-xNix with an ultralow coefficient of thermal expansion(αl=1.00×10-6 K-1,100-400K)and exceptional mechanical properties(tensile strength:560 MPa,the elongation to failure:53%).This alloy exhibits both significant transformations induced plasticity(TRIP)and zero thermal expansion effects(Invar)at room temperature,classified as a recently proposed TRIP-Invar alloy.In situ magnetic analysis reveals that ferromagnetic order mediates pronounced magnetic compensation of intrinsic lattice contraction during cooling through spin-state transitions,thereby generating zero thermal expansion behavior.In situ neutron diffraction reveals that the good strength-plasticity trade-off arises from a deformation-triggered martensitic transformation,which enhances strain hardening through dislocation multiplication and grain boundary reinforcement.This work proposes a materials design strategy for next-generation structural-functional integrated materials,advancing the fundamental understanding of thermal expansionmechanical property optimization in MPEAs.展开更多
The integration of artificial intelligence with electromagnetic metasurfaces has inaugurated a new era of intelligent metasurfaces,enabling self-adaptive ability for various user demands and in complex environments.Ho...The integration of artificial intelligence with electromagnetic metasurfaces has inaugurated a new era of intelligent metasurfaces,enabling self-adaptive ability for various user demands and in complex environments.However,inverse design,as the core of intelligent metasurfaces,is typically trained based on an assumption of ideal input,thus failing to maintain robustness against complex real-world signal distortions.展开更多
基金supported by the National Natural Science Foundation of China under Grants 61962023,61562029 and 62466019.
摘要This paper presents an adaptive multi-agent coordination(AMAC)strategy suitable for complex scenarios,which only requires information exchange between neighbouring robots.Unlike traditional multi-agent coordination methods that are solved by neural dynamics,the proposed strategy displays greater flexibility,adaptability and scalability.Furthermore,the proposed AMAC strategy is reconstructed as a time-varying complex-valued matrix equation.By introducing a dynamic error function,a fixed-time convergent zeroing neural network(FTCZNN)model is designed for the online solution of the AMAC strategy,with its convergence time upper bound derived theoretically.Finally,the effectiveness and applicability of the coordination control method are demonstrated by numerical simulations and physical experiments.Numerical results indicate that this method can reduce the formation error to the order of 10-6within 1.8 s.
基金supported by the National Science and Technology Major Project(2022ZD0119901)the National Natural Science Foundation of China under Grant(U2141234,62463004 and U24A20260)+1 种基金the Hainan Province Science and Technology Special Fund(ZDYF2024GXJS003)the Scientific Research Fund of Hainan University(KYQD(ZR)23025).
摘要Recently,the zeroing neural network(ZNN)has demonstrated remarkable effectiveness in tackling time-varying problems,delivering robust performance across both noise-free and noisy environments.However,existing ZNN models are limited in their ability to actively suppress noise,which constrains their robustness and precision in solving time-varying problems.This paper introduces a novel active noise rejection ZNN(ANR-ZNN)design that enhances noise suppression by integrating computational error dynamics and harmonic behaviour.Through rigorous theoretical analysis,we demonstrate that the proposed ANR-ZNN maintains robust convergence in computational error performance under environmental noise.As a case study,the ANR-ZNN model is specifically applied to time-varying matrix inversion.Comprehensive computer simulations and robotic experiments further validate the ANR-ZNN's effectiveness,emphasising the proposed design's superiority and potential for solving time-varying problems.
基金supported by the National Natural Science Foundation of China(Nos.61404049,62273141)Natural Science Foundation of Hunan Province(Grant No:2020JJ6031)+2 种基金Key Project of Hunan Provincial Education Department(Grant No:22A0324)Scientific Research Fund of Education Department of Hunan Province(Grant No:17B094)Special Program of National Innovative City Construction of Xiangtan(Grant No:NY-YB20221042).
摘要Solving time-varying nonlinear equations in real time is a significant challenge in modern computing.Dynamic Memristor-Inspired Zeroing Neural Networks(DMZNN)have shown strong performance in this field,but their convergence speed and robustness heavily rely on the design of the activation function.This paper proposes a novel hybrid activation function inspired by the nonlinear characteristics of memristors.By integrating cubic and sublinear terms,the proposed function facilitates multi-stage error decay,effectively addressing the slow convergence and poor noise resistance of traditional activation functions.Theoretical analysis shows that the DMZNN model,built upon this activation function,can converge in finite time.Robustness under parameter perturbations and additive noise is rigorously proven using Lyapunov theory.Simulation results demonstrate that the convergence speed of the DMZNN model is obviously faster than that of traditional ZNN models when solving second-order,third-order,and fourth-order time-varying nonlinear equations.Additionally,in the application of remote sensing image fusion,DMZNN outperforms traditional gradient-based methods in both fusion quality and processing speed,demonstrating its practical effectiveness and superiority in real-world applications.
基金Natural Science Foundation of China,Grant/Award Number:62206109Guangdong Basic and Applied Basic Research Foundation,Grant/Award Number:2022A1515010976+1 种基金Young Scholar Program of Pazhou Lab,Grant/Award Number:PZL2021KF0022National College Student Innovation and Entrepreneurship Training Program,Grant/Award Number:202410559070。
摘要Zeroing neural dynamic(ZND)model is widely deployed for time-variant non-linear equations(TVNE).Various element-wise non-linear activation functions and integration operations are investigated to enhance the convergence performance and robustness in most proposed ZND models for solving TVNE,leading to a huge cost of hardware implementation and model complexity.To overcome these problems,the authors develop a new norm-based ZND(NBZND)model with strong robustness for solving TVNE,not applying element-wise non-linear activated functions but introducing a two-norm operation to achieve finite-time convergence.Moreover,the authors develop a discretetime NBZND model for the potential deployment of the model on digital computers.Rigorous theoretical analysis for the NBZND is provided.Simulation results substantiate the advantages of the NBZND model for solving TVNE.
基金supported by the National Natural Science Foundation of China(No.62466019)。
摘要The problem of multi-robot formation is prevalent in scientific and engineering applications,where robots must adapt to uncertain and dynamic behaviors due to real-time environmental or task changes.Traditional methods struggle to meet the demand for high-precision solutions within finite time frames.Zeroing Neural Networks(ZNNs),which utilize the time derivatives of time-varying coefficients,outperform other networks in handling dynamic system behaviors.This paper marks the first attempt to extend the ZNN approach to address finite-time multi-robot through optimization modeling.We introduce an innovative strategy that employs complex number structures to map robot coordinates,simplifying the computation needed for dynamic formation tasks.Additionally,we present a multi-robot formation strategy that minimizes the distance between neighboring robots while adhering to bias-type center constraint.This is effectively reformulated as a complex-valued time-varying matrix equation.Based on this,two complex-type Finite-Time Zeroing Dynamic Controllers(FTZDC)are designed,with their stability and convergence time bounds rigorously analyzed.Finally,in two specific formation tasks,the proposed strategy and FTZDC models achieve precise multi-robot formation,independent of the robots’initial positions,all within finite time.
基金supported by the National Natural Science Foundation of China(No.52205032)the Shun Hing Institute of Advanced Engineering,The Chinese University of Hong Kong,the Research Grants Council of Hong Kong(No.14204423)the Guangdong Basic and Applied Basic Research Foundation(No.2023A1515010062).
摘要This paper develops a Predefined-Time Convergent and Noise-Tolerant Fractional-Order Zeroing Neural Network(PTC-NT-FOzNN)model,innovatively engineered to tackle Time-Variant Quadratic Programming(TVQP)challenges.The PTC-NT-FOzNN,stemming from a novel iteration within the variablegain Zeroing Neural Network(ZNN)spectrum,known as FOzNNs,features diminishing gains over time and marries noise resistance with predefined-time convergence,making it ideal for energy-efficient robotic motion planning tasks.The PTC-NT-FOZNN enhances traditional ZNN models by incorporating a newly developed activation function that promotes optimal convergence irrespective of the model's order.When evaluated against six established ZNNs,the PTC-NT-FOZNN,with parameter 0<α≤1,demonstrates enhanced positional precision and resilience to additive noises,making it exceptionally suitable for TvQP tasks.Thorough practical assessments,including simulations and experiments using a Flexiv Rizon robotic arm,confirm the PTC-NT-FOzNN's capabilities in achieving precise tracking and high computational efficiency,thereby proving its effectiveness for robust kinematic control applications.
摘要The growing frequency of malicious attacks on Internet of Things(IoT)devices has rendered conventional approaches with static label-dependent risk assessment models obsolete,especially when coping with unknown and continuously evolving threats.To mitigate these challenges,a novel dynamic trust evaluation framework approach is proposed in this work.The proposed framework utilized unsupervised learning and zero-knowledge proofs to assess device risks in complex environments adaptively,with an accuracy rate of 98.96%for normal clustering and 95.39%for anomalies.K-means clustering algorithm is leveraged to distinguish risk patterns with an additional Decision Tree classification algorithm to analyze the distinguishing characteristics of the behaviors of normal and anomalous devices.The architecture is evaluated in a simulated environment based on real device interaction,with various malicious attacks proportions.In addition,Zero Trust Architecture is integrated into this novel framework to ensure no implicit trust exists between devices,which enforces trust assessment before any collaboration or data exchange.
基金supported under Contract No.62-B602000-21-Funded No.BBR07。
摘要This study presents the design and development of an electric-powered workboat for application in a hydro-floating solar hybrid system,with the objective of supporting the operation and maintenance of such systems through efficient and environmentally friendly transportation.The research addresses key design challenges,including stability,maneuverability,and the integration of renewable energy sources.Computational Fluid Dynamics(CFD)simulations were employed to analyze resistance,wave patterns,and effective power,while Maxsurf software was used to evaluate vessel stability.The results indicate that the electric-powered workboat achieves a maximum speed of 21 km/h and demonstrates optimal energy efficiency at operating speeds of 18–19 km/h.In addition,assessments of noise levels,wave patterns,and environmental performance were conducted within the context of the Hydro-Floating Solar Hybrid System at Sirindhorn Dam.The findings confirm the feasibility and effectiveness of electric-powered workboats utilizing renewable energy sources,highlighting their potential contribution to sustainable waterway transportation infrastructure.
基金supported by National Key Research and Development Program of China(2022YFB3804902,2022YFB3804900)the National Natural Science Foundation of China(52203226,52161145406,42376045)the Fundamental Research Funds for the Central Universities(2232024Y-01,2232025D-02).
摘要While desalination is a key solution for global freshwater scarcity,its implementation faces environmental challenges due to concentrated brine byproducts mainly disposed of via coastal discharge systems.Solar interfacial evaporation offers sustainable management potential,yet inevitable salt nucleation at evaporation interfaces degrades photothermal conversion and operational stability via light scattering and pathway blockage.Inspired by the mangrove leaf,we propose a photothermal 3D polydopamine and polypyrrole polymerized spacer fabric(PPSF)-based upward hanging model evaporation configuration with a reverse water feeding mechanism.This design enables zero-liquiddischarge(ZLD)desalination through phase-separation crystallization.The interconnected porous architecture and the rough surface of the PPSF enable superior water transport,achieving excellent solar-absorbing efficiency of 97.8%.By adjusting the tilt angle(θ),the evaporator separates the evaporation and salt crystallization zones via controlled capillary-driven brine transport,minimizing heat dissipation from brine discharge.At an optimal tilt angle of 52°,the evaporator reaches an evaporation rate of 2.81 kg m−2 h−1 with minimal heat loss(0.366 W)under 1-sun illumination while treating a 7 wt%waste brine solution.Furthermore,it sustains an evaporation rate of 2.71 kg m−2 h−1 over 72 h while ensuring efficient salt recovery.These results highlight a scalable,energy-efficient approach for sustainable ZLD desalination.
基金supported by grants from the National Natural Science Foundation of China(Nos.W2411019 and 32373115)the Blue Seed Industry Innovation Project of Qingdao Institute of Blue Seed Industry(No.QDLYY-2024001)the Taishan Industrial Experts Program,and the Laoshan Laboratory。
摘要To calculate the biological zero and the effective accumulated temperature(EAT)for gonadal development in one-and two-year-old diploid and tetraploid Pacific oysters(Crassostrea gigas),four indoor heating experiments were carried out in2022-2024.The biological zeros of diploids and tetraploids were 7.84℃and 7.45℃,respectively.The EAT in diploids was lower than that in tetraploids,at 389.05℃×d and 546.95℃×d,respectively.Histological analysis indicated that gonadal development was more rapid in diploids than in tetraploids.Simultaneously,one-and two-year-old diploid and tetraploid oysters had the same EAT.The proportion of females dominated all four study groups,especially the tetraploids.Age and ploidy did not significantly influence the cumulative survival rate(CSR).Gonadal development and warm temperatures may be the primary causes of mortality.The incremental survival rate(ISR)during the first half of the entire experimental cycle(ISR1)was markedly higher than that of the second half(ISR2)in both the diploid and tetraploid groups.These results suggest that one-and two-year-old tetraploid oysters could be used for the large-scale production of triploids by providing indoor heating.
基金supported by the Guangdong Basic and Applied Basic Research Foundation(Grant No.2023A1515110081)the Open Fund of Key Laboratory of Multiscale Spin Physics(Ministry of Education)+4 种基金the Beijing Normal University(Grant No.SPIN2024K01)the Fundamental Research Funds for the Central Universities(Grant Nos.FRF-TP-22-098A1 and FRF-IDRY-24-28)the National Key R&D Program of China(Grant No.2023YFA1406704)the National Natural Science Foundation of China(Grant Nos.12174030 and 12405030)the open research fund of Beijing National Laboratory for Condensed Matter Physics(Grant No.2025BNLCMPKF021).
摘要Analytically connecting equilibrium criticality and dynamical quantum phase transitions(DQPTs)under complex driving fields remains a significant challenge,primarily due to the combinatorial complexity of non-local long-range entanglement.Here,we decode this connection in the 2D strongly interacting Wen-plaquette model.By mapping its anyonic excitations to 1D effective dissipative channels,we reveal that microscopic single-particle fidelity zeros exactly reconstruct the macroscopic equilibrium topological phase boundaries.Beyond equilibrium,we demonstrate that during non-unitary quench dynamics,these very same static singularities enforce a momentumspace exclusion against dynamical Fisher zeros.Furthermore,a newly identified dissipation-phase racing mechanism prematurely depletes the decaying mode,suppressing DQPTs and generating topologically trivial steady states.Our results establish exact microscopic static singularities as an analytical decoder for macroscopic non-unitary topological dynamics involving discrete symmetry breaking.
摘要The United Nations Sustainable Development Goal(SDG) 2 aims to achieve Zero Hunger by 2030.However,global hunger and food insecurity have continued to rise at an alarming rate(UN 2023).Subtropical regions are home to more than 30% of the world's population,predominantly in developing countries where per capita farmland and food supply are only 40% of those in developed nations(FAO 2018).Meeting the Zero Hunger target amid ongoing population growth in these regions requires a substantial increase in agricultural production while minimizing soil degradation and adverse ecological impacts.This challenge is shared by many countries across South Asia,Africa,and Central and South America.
基金supported by the National Natural Science Foundation of China(Grant Nos.12474151,92565103,and 12547101)the Beijing National Laboratory for Condensed Matter Physics(Grant No.2024BNLCMPKF025)the Fundamental Research Funds for the Central Universities(Grant No.2025CDJ-IAISYB-032)。
摘要Majorana surface states in time-reversal invariant(TRI)topological superconductors(TSCs)typically exhibit a highly anisotropic magnetic response,a phenomenon termed“Majorana Ising spins.”This Ising character is governed by the crystalline symmetries protecting the topological phase.In this work,we investigate the orientation and tunability of Majorana Ising spins within TRI TSCs engineered in two-dimensional spin–orbit coupled systems proximitized to an extended swave superconductor.We demonstrate that the interplay between Rashba and Dresselhaus spin–orbit couplings(SOC)plays a decisive role in determining the Ising spin orientation.In the limit of pure Rashba SOC,the Ising spin aligns along the x-axis,protected by mirror symmetry Mx,whereas for pure Dresselhaus SOC,it orients along the y-axis,protected by the rotational symmetry C2y.Crucially,we reveal that when both Rashba and Dresselhaus interactions coexist,the Ising spin direction becomes continuously tunable within the basal plane.By adjusting the relative strengths of the SOC parameters—experimentally accessible via gating in semiconductor heterostructures—any orientation between the xand y axes can be achieved.We validate these findings by calculating the topological winding number W and elucidating the symmetry-protection mechanism for the tunable phases.Our results propose a pathway for manipulating Majorana fermions in quantum devices through purely electrical means,bridging the gap between symmetry-protected topology and functional spintronic applications.
基金supported by the Quantum Science and Technology-National Science and Technology Major Project(Grant No.2025ZD0300500)the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDB1710000)+4 种基金the National Key Research and Development Program(Grant Nos.2021YFA1202900 and 2024YFA1410400)the National Natural Science Foundation of China(Grant No.62488201)the Beijing Natural Science Foundation(Grant No.JQ25003)K.W.and T.T.acknowledge support from the JSPS KAKENHI(Grant Nos.20H00354,21H05233,and 23H02052)World Premier International Research Center Initiative(WPI),MEXT,Japan.
摘要Moirésuperlattice based on rhombohedral graphene is an emerging strongly correlated platform for exploring novel quantum states and phase transitions.Here,we report the observation of symmetry-breaking states and phase transitions in a newly discovered twisted rhombohedral trilayer-bilayer graphene(tRTBG)moirésuperlattice.At zero magnetic fields,we observe displacement field-driven resistance jumps and hysteresis loops across the symmetry-breaking phase boundaries,providing evidence for first-order phase transitions.The observation of hysteresis loops driven by out-of-plane and in-plane magnetic fields at the boundaries reveals the lifted spin degeneracy in symmetry-breaking metals and correlated insulators.We further investigate the evolution of symmetry-breaking phases and their phase boundaries under finite magnetic fields,revealing rich competition between states with different symmetries.Our findings uncover the isospin-polarized order in correlated states and enrich the phase diagram of tRTBG,providing new insights into interaction-driven phases in twisted rhombohedral graphene.
基金supported by the National Natural Science Foundation of China(Grants Nos.11932002 and 11902004).
摘要Researchers have achieved remarkable control over material properties by designing novel architectures,particularly for tuning Poisson’s ratio.Despite abundant existing approaches,significant design space remains unexplored.This work presents two metamaterial designs exhibiting directionally dependent zero Poisson’s ratio,i.e.,one-way zero Poisson’s ratio.In other loading directions,these metamaterials display positive or negative Poisson’s ratio.This selectivity stems from a mode switching mechanism between“unbuckling”and“buckling”of well-designed members within the metamaterials.Theoretical analysis reveals the conditions governing this mode switch,numerical simulation and experiments confirm the one-way Poisson’s effect.Furthermore,the high stiffness contrast within these buckling-prone members yields a pronounced asymmetry in equivalent moduli of the metamaterials under tension and compression,breaking the inherent symmetry of the elastic matrix of conventional materials.This asymmetry is then exploited to design metamaterial beams with asymmetric bending stiffness.Our findings and the design strategy presented here pave the way for developing advanced metamaterials with previously unattainable and unexpected Poisson’s ratios.
基金supported in part by the National Natural Science Foundation of China(Grant Nos.12588101,12535002,12175184,12433001,and 12205015)。
摘要The Ok null test can not only assess whether the cosmic curvature is zero—thereby,if true,reducing degeneracies between cosmic curvature and other cosmological parameters—but also provide a model-independent check of compatibility between different data sets.However,traditional implementations often require absolute distance data from Type Ia supernovae(SNe Ia)or baryon acoustic oscillation(BAO)measurements,limiting their applicability because such absolute distance data are usually not accessible.The BAO Alcock-Paczynski(AP)parameter FAP is a measurement of a distance ratio,making the Dark Energy Spectroscopic Instrument(DESI)AP measurements particularly well suited for the Oknull test,as no absolute distance measurements are required.We propose a novel null test of cosmic curvature tailored to DESI BAO data that combines FAPwith ratios such as D′V/DVor D′M/DM.Crucially,this construction eliminates the need for absolute distance measurements.We further develop multi-task Gaussian processes to perform the null test.This approach can also be applied to a joint DESI BAO and SNe Ia dataset,and we find that DESI BAO and SNe Ia data are compatible.Although there is~2σ evidence of nonzero curvature at low redshift z■0.5,this result is not conclusive,largely due to the lack of observational data in the corresponding redshift range.
基金supported by the projects of the China Geological Survey (DD20220987, DD20242954, and ZD20220211)
摘要Selenium(Se)serves as a trace element essential for the human body owing to its significant physiological functions and extensive pharmacological effects.The Se required by the human body is primarily obtained from soil-derived foods.This study revealed Se-rich soils covering a certain area and Se-rich edible wild mushrooms with high Se accumulation rates in Chuxiong,central Yunnan Province,China through a geochemical survey of soil quality.Furthermore,this study investigated the Se migration and transformation mechanisms in the soil-wild mushroom system,aiming to provide a scientific basis for the development and planning of Se-rich green foods in the study area.Using the geochemical data of samples collected from topsoils,deep soils,and wild mushrooms and their root soils in Nanhua County,Chuxiong,this study analyzed the Se contents in soils and wild mushrooms and their root soils and explored the mechanisms and influencing factors of Se enrichment in wild mushrooms.The results indicate that the topsoils in the study area exhibit Se contents ranging from 0.07 mg/kg to 0.95 mg/kg,with an arithmetic average of 0.25 mg/kg.The Se-rich soils cover an area of 356 km2,which accounts for 13.07% of the total topsoil area.The wild mushrooms in the study area display Se contents varying from 0.004 mg/kg to 47.10 mg/kg,with a median of 0.977 mg/kg.The analyses of Moran’s index and semivariogram indicate that the Se content distributions in both topsoils and deep soils in the study area exhibit distinct spatial structures.Specifically,the semivariogram model for the Se content in the deep soils emerges as a Gaussian model,and the Se content exhibits a nugget-to-sill ratio of 21.72%,suggesting that the Se content in deep soils is primarily influenced by structural factors such as parent materials.Se in the soils originates primarily from soil-forming parent rocks,with the origin of the Se-rich soils closely related to Triassic black shales,thin coal seams,and metamorphic rocks in the Ailao Mountain area.The wild mushrooms in the study area enjoy significantly higher Se content than other reported naturally Se-rich agricultural products,with a Se accumulation rate of up to 92.31%and an overall over-limit ratio of Pb and Cd of merely 11.54%,suggesting that the study area has substantial potential for the development of naturally Se-rich green foods.The wild mushrooms in the study area exhibit bioconcentration factors(BCFs)of Se ranging from 0.02 to 157.00(median:4.26),with Se bioavailability decreasing in the order of Boletus edulis,Boletus aereus,Leccinum nigrescens,Ramaria botrytoides,and Russula virescens.For the Se absorption and enrichment in the wild mushrooms,the primary controlling factor is identified as the wild mushroom species.Furthermore,they are significantly influenced by the Se content in soils but are minimally affected by the physicochemical indicators of soils.
基金financial supports from the National Key R&D Program of China(Grant No.2021YFA1402104)the National Natural Science Foundation of China(Grant Nos.12205235,12105221,12434006,12247103,12247179,12175180,and 12547107)+3 种基金China Postdoctoral Science Foundation(Grant No.2022M712580)Scientific Research Program Funded by Education Department of Shaanxi Provincial Government(Grant No.22JK0577)Shaanxi Fundamental Science Research Project for Mathematics and Physics(Grant No.23JSQ008)the Major Basic Research Program of Natural Science of Shaanxi Province(Grant Nos.2021JCW-19 and 2017ZDJC-32)。
摘要We develop a new method to study the ground state energy of the one-dimensional supersymmetric t-J model with open boundary conditions.The eigenvalues of the nested transfer matrix are characterized by the zero roots of corresponding polynomials instead of the T-Q relation and Bethe roots.The distribution of zero roots at the ground state is studied.We find that the zero roots form two-string pairs,finite pure real and pure imaginary boundary strings.Based on the distribution of zero roots,we obtain the ground state energy of the system in the thermodynamic limit.
基金financially supported by Scientific Research Innovation Capability Support Project for Young Faculty,China(No.SRICSPYF-ZY2025062)the National Natural Science Foundation of China(Nos.22371014 and 22535001)+2 种基金the Fundamental Research Funds for the Central Universities,China(Nos.GJRC2023003 and FRF-EYIT-2303)the Xiaomi Young Talents Program/Xiaomi Foundation.,ChinaIn-situ loading neutron diffraction work was carried out at the Spallation Neutron Source(SNS)(Proposal No.32827.1),which is the U.S.Department of Energy(DOE)user facility at the Oak Ridge National Laboratory,sponsored by the Scientific User Facilities Division,Office of Basic Energy Sciences.
摘要Multi-principal-element alloys(MPEAs)have emerged as a transformative class of metallic materials,surpassing conventional alloys due to their“four core effects”.The inherent compositional complexity and programmable multifunctionality of MPEAs collectively drive their emergence as a vanguard in materials innovation.By synergistically modulating metastable engineering and magnetovolume effects,we developed a MPEA(Fe,Co,Cr)100-xNix with an ultralow coefficient of thermal expansion(αl=1.00×10-6 K-1,100-400K)and exceptional mechanical properties(tensile strength:560 MPa,the elongation to failure:53%).This alloy exhibits both significant transformations induced plasticity(TRIP)and zero thermal expansion effects(Invar)at room temperature,classified as a recently proposed TRIP-Invar alloy.In situ magnetic analysis reveals that ferromagnetic order mediates pronounced magnetic compensation of intrinsic lattice contraction during cooling through spin-state transitions,thereby generating zero thermal expansion behavior.In situ neutron diffraction reveals that the good strength-plasticity trade-off arises from a deformation-triggered martensitic transformation,which enhances strain hardening through dislocation multiplication and grain boundary reinforcement.This work proposes a materials design strategy for next-generation structural-functional integrated materials,advancing the fundamental understanding of thermal expansionmechanical property optimization in MPEAs.
基金supported by the National Natural Science Foundation of China(Grant Nos.62550050,62422514,and 62471432 for C.Q.,U25A20520 and 62475228 for H.C.)the Natural Science Foundation of Zhejiang Province,China(Grant No.LZ26F010004 for C.Q.)。
摘要The integration of artificial intelligence with electromagnetic metasurfaces has inaugurated a new era of intelligent metasurfaces,enabling self-adaptive ability for various user demands and in complex environments.However,inverse design,as the core of intelligent metasurfaces,is typically trained based on an assumption of ideal input,thus failing to maintain robustness against complex real-world signal distortions.