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Theory Evolution Optimization:A Metaheuristic Algorithm BaSed on Evolution Process of Theory 认领 引用
1
作者 Jiacong Liu Jiaze Tu +5 位作者 Chunguang Bi Huiling Chen Ali Asghar Heidari Hao Xie Lei Liu Yi Chen 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第2期1015-1060,共46页
Metaheuristic algorithms have emerged as indispensable tools for solving NP-hard optimization problems that defy traditional methods.To advance the field’s focus on algorithmic performance,this study introduces the T... Metaheuristic algorithms have emerged as indispensable tools for solving NP-hard optimization problems that defy traditional methods.To advance the field’s focus on algorithmic performance,this study introduces the Theory Evolution Optimization(TEO)–an efficient metaheuristic inspired by the evolution of scientific theory.TEO simulates the competitive,accumulative,and replacement processes among scientific hypotheses,mirroring the evolution from a hypothesis to an established scientific theory.The performance of TEO is validated through extensive experimental simulations and benchmarked against 28 popular algorithms,including highly competitive champions such as EBOwithCMAR,LSHADE_cnEpSi,and LSHADE.Pairwise comparisons between TEO and the latest algorithms are conducted using the Wilcoxon signed-rank test,with multiple comparisons managed by the Friedman test.Initially,TEO is tested on the classical IEEE CEC2017 and the latest IEEE CEC2022 benchmark functions.TEO successfully addresses four prominent engineering design problems in constrained continuous space for practical applications.Additionally,a binary TEO(BTEO)variant is introduced and applied to feature selection tasks in discrete space.Experimental results consistently demonstrate that TEO proposes highly competitive outcomes in optimization problems.The source codes for this research are accessible to the public at http://gffzze767f4cc5ce545d8s9x6xkqbnbvf66nbn.ffgz.tsg.suse.edu.cn/TEO.html. 展开更多
关键词 Optimization,metaheuristic algorithms Evolution of scientific theory Theory evolution optimizers Engineering design optimization Feature selection
Prediction of laser welding deformation using a deep learning model optimized by a differential evolution algorithm 认领 引用
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作者 Lihong Cheng Yue Li +2 位作者 Jianfeng Wang Chao Ma Xiaohong Zhan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第1期236-248,共13页
Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy ... Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy and efficiency in solving complex problems.Thus,the use of machine learning to predict welding de-formations is a novel approach.In this study,laser welding experiments were conducted on a TC4 titanium alloy to establish a welding deformation dataset.The deep neural network(DNN)and convolutional neural network(CNN)models were designed and constructed,with average prediction errors of 0.85 mm and 0.94 mm on the validation set,respectively.To further optimize the network parameters,a differential evolution algorithm was employed through mutation,crossover,and selection.The results indicated that after optimization,the pre-diction errors of the DNN and CNN models reduced to 0.75 mm and 0.85 mm,respectively.These represent accuracy improvements of 14.8%and 9.6%,respectively.The optimized models exhibited superior predictive performances for the validation set. 展开更多
关键词 Deep learning Differential evolution algorithm Laser welding deformation Ti6Al4V alloy
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Structural Reliability Analysis Based on Differential Evolution Algorithm and Hypersphere Integration 认领 引用
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作者 CHEN Zhenzhong HAN Zhuo +4 位作者 WANG Peiyu PAN Qianghua LI Xiaoke GAN Xuehui CHEN Ge 《Journal of Donghua University(English Edition)》 CAS 2026年第1期118-130,共13页
In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order relia... In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order reliability methods exhibit limited accuracy in highly nonlinear scenarios.To overcome these challenges,a novel reliability analysis strategy based on a multimodal differential evolution algorithm and a hypersphere integration method is proposed.Initially,the penalty function method is employed to reformulate the MPP search problem as a conditionally constrained optimization task.Subsequently,a differential evolution algorithm incorporating a population delineation strategy is utilized to identify all MPPs.Finally,a paraboloid equation is constructed based on the curvature of the limit-state function at the MPPs,and the failure probability of the structure is calculated by using the hypersphere integration method.The localization effectiveness of the MPPs is compared through multiple numerical cases and two engineering examples,with accuracy comparisons of failure probabilities against the first-order reliability method(FORM)and the secondorder reliability method(SORM).The results indicate that the method effectively identifies existing MPPs and achieves higher solution precision. 展开更多
关键词 reliability analysis design point positioning differential evolution algorithm hypersphere integration
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An Efficient Evolutionary Algorithm for Few-for-Many Optimization 认领 引用
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作者 Ke Shang Hisao Ishibuchi +1 位作者 Zexuan Zhu Qingfu Zhang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1362-1377,共16页
Few-for-many(F4M)optimization,recently introduced as a novel paradigm in multi-objective optimization,aims to find a small set of solutions that effectively handle a large number of conflicting objectives.Unlike tradi... Few-for-many(F4M)optimization,recently introduced as a novel paradigm in multi-objective optimization,aims to find a small set of solutions that effectively handle a large number of conflicting objectives.Unlike traditional many-objective optimization methods,which typically attempt comprehensive coverage of the Pareto front,F4M optimization emphasizes finding a small representative solution set to efficiently address highdimensional objective spaces.Motivated by the computational complexity and practical relevance of F4M optimization,this paper proposes a new evolutionary algorithm explicitly tailored for efficiently solving F4M optimization problems.Inspired by Smetric selection evolutionary multi-objective optimization algorithm(SMS-EMOA),our proposed approach employs a(μ+1)-evolution strategy guided by the objective of F4M optimization.Furthermore,to facilitate rigorous performance assessment,we propose a novel benchmark test suite specifically designed for F4M optimization by leveraging the similarity betw een the R2indicator and F4M formulations.Our test suite is highly flexible,allowing any existing multi-objective optimization problem to be transformed into a corresponding F4M instance via scalarization using the weighted Tchebycheff function.Comprehensive experimental evaluations on benchmarks demonstrate the superior performance of our algorithm compared to existing state-of-the-art algorithms,especially on instances involving a large number of objectives.The source code of the proposed algorithm will be released publicly.Source code is available at http://gffzz188fe103f8f1460as9x6xkqbnbvf66nbn.ffgz.tsg.suse.edu.cn/MOL-SZU/SoM-EMOA. 展开更多
关键词 Evolutionary algorithm few-for-many optimization many-objective optimization (MOO) multi-objective optimization
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Propagation Alongside Crossover:An Evolutionary Algorithm for Continuous Optimization and Feature Selection 认领 引用
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作者 Najibeh Farzi-Veijouyeh Vahideh Sahargahi Neda Matin 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第2期1112-1175,共64页
Researchers continuously advance optimization algorithms,recognizing that no meta-heuristic can solve all problem types,as stated by the No Free Lunch theorem.This paper introduces the Propagation alongside Crossover(... Researchers continuously advance optimization algorithms,recognizing that no meta-heuristic can solve all problem types,as stated by the No Free Lunch theorem.This paper introduces the Propagation alongside Crossover(PAC)algorithm to address continuous optimization challenges.The primary goal of PAC is to structure the algorithmic phases in a manner that achieves a robust balance between exploration and exploitation through appropriately designed mechanisms at each stage.PAC simultaneously leverages the benefits of propagation,crossover,and mutation.Three independent operators are defined to generate new candidate solutions separately,and a novel selection strategy allows individuals produced by each operator,along with members of the current population,to independently enter the next generation.This design preserves population diversity,prevents all individuals from converging toward a single point,and enhances the algorithm’s ability to explore the solution space effectively.A key innovation of PAC is its three-mode propagation mechanism,which comprises local search,linear propagation toward the target point,and tear-drop shaped propagation toward the target point.Tear-drop propagation provides a precise and adaptive search around promising solutions,increasing diversity and preventing entrapment in local optima.The target point is typically set as the global optimum;however,when propagating the global optimum itself,a random point is used as the target to further enhance exploration and escape from local optima.The initial population is generated using chaotic mapping to ensure broad coverage of the search space.PAC was rigorously evaluated on 51 benchmark functions and three engineering problems,considering scalability,convergence,sensitivity,and computational efficiency.Comparative analyses with established optimization algorithms demonstrate PAC’s superior performance,as confirmed by Wilcoxon signed-rank and Friedman statistical tests.Furthermore,PAC was applied as a feature selection method on four diverse datasets,achieving substantial dimensionality reduction while outperforming comparative methods in classification accuracy.These results highlight PAC’s versatility,robustness,and practical effectiveness. 展开更多
关键词 Optimization algorithms Meta-heuristic algorithms Continuous optimization Propagation alongside crossover algorithm Intrusion detection
Hyper-heuristic Evolutionary Algorithm Utilizing Q-learning for Addressing the Distributed Flexible Job-Shop Scheduling Problem in the Context of Worker Absenteeism 认领 引用
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作者 Zhiqing Li Yongquan Zhou Qifang Luo 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第3期1932-1969,共38页
The Distributed Flexible Job Shop Scheduling Problem(DFJSP)is critical in modern manufacturing;however,existing research has not sufficiently addressed dynamic disturbances,particularly unexpected worker absences.This... The Distributed Flexible Job Shop Scheduling Problem(DFJSP)is critical in modern manufacturing;however,existing research has not sufficiently addressed dynamic disturbances,particularly unexpected worker absences.This study extends the DFJSPW model to introduce an enhanced framework,DFJSPWA,which optimizes maximum makespan,worker workload,and total energy consumption by integrating worker load factors with random absenteeism.To solve this complex problem,we propose a Q-learning-based Hyper-heuristic Evolutionary Algorithm(QLHHEA).This algorithm features a segmented encoding scheme that implicitly captures absenteeism information,utilizing a decoding process tailored for both standard and rescheduling contexts.Additionally,we construct a pool of twelve efficient Low-Level Heuristics(LLHs)combined with Q-learning to enable the adaptive selection of operators.Furthermore,a Hybrid Rescheduling Method(HRM)is developed,employing three response strategies based on worker status and the urgency of the absenteeism.Comprehensive experiments on 58 benchmark instances demonstrate that QLHHEA significantly outperforms six established algorithms,including MOEA/D and NSGA-II.Statistical validation confirms the superiority of the proposed method.This research provides a robust theoretical and methodological framework for improving scheduling efficiency and resource utilization in distributed production systems facing worker absenteeism. 展开更多
关键词 Worker absenteeism Distributed flexible job shop scheduling problem Hyper-heuristic evolutionary algorithm Dynamic rescheduling Q-learning
Optimization of Aluminum Alloy Formation Process for Selective Laser Melting Using a Differential Evolution-Framed JAYA Algorithm 认领 引用
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作者 Siwen Xu Hanning Chen +3 位作者 Rui Ni Maowei He Zhaodi Ge Xiaodan Liang 《Computers, Materials & Continua》 SCIE EI 2026年第2期420-444,共25页
Selective Laser Melting(SLM),an advanced metal additive manufacturing technology,offers high precision and personalized customization advantages.However,selecting reasonable SLM parameters is challenging due to comple... Selective Laser Melting(SLM),an advanced metal additive manufacturing technology,offers high precision and personalized customization advantages.However,selecting reasonable SLM parameters is challenging due to complex relationships.This study proposes a method for identifying the optimal process window by combining the simulation model with an optimization algorithm.JAYA is guided by the principle of preferential behavior towards best solutions and avoidance of worst ones,but it is prone to premature convergence thus leading to insufficient global search.To overcome limitations,this research proposes a Differential Evolution-framed JAYA algorithm(DEJAYA).DEJAYA incorporates four key enhancements to improve the flexibility of the original algorithm,which include DE framework design,horizontal crossover operator,longitudinal crossover operator,and global greedy strategy.The effectiveness of DEJAYA is rigorously evaluated by a suite of 23 distinct benchmark functions.Furthermore,the numerical simulation establishes AlSi10Mg single-track formation models,and DEJAYA successfully identified the optimal process window for this problem.Experimental results validate that DEJAYA effectively guides SLM parameter selection for AlSi10Mg. 展开更多
关键词 Selective laser melting differential evolution-framed JAYA meta-heuristic algorithm AlSi10Mg singletrack formation optimal process window
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Tailoring the d-band center of iridium-doped cobalt selenide for dual-boosted hydrogen and oxygen evolution reactions 认领 引用 被引量：2
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作者 Lulu An Jiang Zhu +1 位作者 Junhao Yang Deli Wang 《Nano Materials Science》 EI CAS CSCD 2026年第3期703-709,共7页
Designing effective electrocatalysts for hydrogen evolution reaction(HER)and oxygen evolution reaction(OER)is essential for the advancement of water electrolysis.Herein,iridium-doped CoSe2(Ir–CoSe2)nanobelts wi... Designing effective electrocatalysts for hydrogen evolution reaction(HER)and oxygen evolution reaction(OER)is essential for the advancement of water electrolysis.Herein,iridium-doped CoSe2(Ir–CoSe2)nanobelts with tailored d-band center are designed to boost both HER and OER in alkaline electrolytes.On the one hand,the adsorption ability of H2O and hydrogen on Ir–CoSe2 is increased due to the upshifted d-band center induced by the electron transfer from CoSe2 to Ir,inducing good HER activity with an overpotential of 126 mV at 10 mA cm-2.On the other hand,the upshifted d-band center of Ir–CoSe2 facilitates the H2O adsorption and ensures the effective exposure of real active sites,resulting in good OER activity with an overpotential of 239 mV at 10 mA cm-2.Meanwhile,when using Ir–CoSe2 as catalysts for alkaline overall water splitting on both HER and OER,a lower voltage of 1.57 V at 10 mA cm-2 is achieved,indicating a good activity and great potential for practical water electrolysis.This work gives an effective method for the rational design of electrocatalysts with customized d-band structures for bifunctional catalysis. 展开更多
关键词 Water electrolysis Hydrogen evolution reaction Oxygen evolution reaction Iridium-doping Bifunctional catalysis
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Natural and artificial evolution of acetolactate synthase for crop breeding 认领 引用 被引量：3
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作者 Wenbo Pan Yaoyao Zhu +4 位作者 Pingdong Li Zhiqiang Li Chunjue Xu Man Jin Xiaoyan Tang 《The Crop Journal》 SCIE CSCD 2026年第1期95-106,共12页
Acetolactate synthase(ALS)-targeting herbicides are among the most widely used weed-control chemicals globally.Mutations in the ALS gene can confer herbicide resistance in crops,thereby allowing selective elimination ... Acetolactate synthase(ALS)-targeting herbicides are among the most widely used weed-control chemicals globally.Mutations in the ALS gene can confer herbicide resistance in crops,thereby allowing selective elimination of weeds without harming crops.Herbicide-resistant ALS alleles were initially discovered in weeds and subsequently developed through artificial mutagenesis techniques.With the advancement of CRISPR/Cas technologies,various genome-editing tools are now available to introduce these resistant alleles,as well as novel variants,into diverse crop species.Moreover,emerging methodologies,such as directed evolution,enable the generation and screening of large populations of random ALS mutants.Consequently,ALS has become one of the most extensively targeted genes in plant gene evolution.This paper provides a comprehensive overview of both conventional and recently developed strategies for ALS evolution,with particular emphasis on CRISPR/Cas-based genome editing and directed evolution.Future perspectives on technological application are also discussed.By advancing our understanding of herbicide-resistant ALS allele development for crop improvement,these methodologies may also pave the way for their application to the evolution of other agronomically important genes. 展开更多
关键词 Herbicide resistance Acetolactate synthase Genome editing Directed evolution
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Linking evolution of heterogeneous microstructure and rheology of granite to 1000℃ 认领 引用 被引量：4
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作者 Liyuan Liu Shengwen Luo +4 位作者 Derek Elsworth Kai Liu Yifan Luo Hongguang Ji Tao Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第3期1842-1857,共16页
The study of the effects of thermal damage on the mineral components,microstructure,and macroscopic physico-mechanical properties of rocks can provide valuable references for rock engineering design and long-term safe... The study of the effects of thermal damage on the mineral components,microstructure,and macroscopic physico-mechanical properties of rocks can provide valuable references for rock engineering design and long-term safety evaluations.In this work,we systematically study the evolution of microstructure and variations in the mechanical properties of granite under high-temperature conditions.The microstructural changes and macro-mechanical properties of rocks are investigated across a temperature range of 25℃–1000℃ through the application of characterization techniques,macro-mechanical experiments,and numerical simulations.High temperatures induce the gradual evolution of micropores and mesopores into macropores,culminating in a significant increase in porosity,with the most rapid rate of increase occurring at 400℃.The X-ray diffraction(XRD)results indicate that the high-temperature environment(below 1000℃)specifically affects the intensity of the maximum diffraction peaks and the half-height width(FWHM)of each mineral component in the granite.The scanning electron microscope(SEM)observation confirms the development of fracture and the reduction in cementation between mineral particles under different temperatures.Additionally,uniaxial and triaxial compression tests were conducted using the GCTS mechanical loading system.Experimental results reveal that the threshold temperature for granite damage is 400℃,and the temperature range for the brittle-ductile transition of granite lies roughly between 600℃ and 800℃.Numerical simulations were performed by employing non-homogeneous rock damage theory and a thermal-mechanical-damage coupling model.Simulated results align well with experimental data.Specifically,the simulations demonstrate that high-temperature treatment causes the redistribution of microstructure in granite,resulting in increased heterogeneity and a change in the failure morphology. 展开更多
关键词 High temperature treatment Thermal damage Microstructure evolution Thermal-mechanical-damage coupling Rock heterogeneity
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Oxygen radical coupling on asymmetric Ni-Co dual-sites induced by rare earth hydroxides for enhanced alkaline oxygen evolution reaction 认领 引用 被引量：2
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作者 Jiamin Zhu Shuhui Li +7 位作者 Yue Zhai Zejin Lin Jingzhi Yang Shanshan Wu Nan Zhang Li An Pinxian Xi Chun-Hua Yan 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第2期577-585,共9页
The reaction pathway plays a pivotal role in determining the catalytic activity of the oxygen evolution reaction(OER).However,regulating the microscopic reaction pathway through interface construction remains a signif... The reaction pathway plays a pivotal role in determining the catalytic activity of the oxygen evolution reaction(OER).However,regulating the microscopic reaction pathway through interface construction remains a significant challenge.In this study,an interface between amorphous rare earth hydroxides and crystalline spinel NiCo2O4was constructed via selective oxidation.The interface structural units accelerate reconstruction,leading to enhanced catalytic activity,which was observed by in situ Raman spectroscopy.The amorphous RE(OH)3(RE=Y and Eu)optimize asymmetric Ni-Co dual-sites,thereby altering the OER reaction pathway.Specifically,Y(OH)3/NiCo2O4operates through the lattice oxygen mechanism(LOM)at the expense of structural stability,whereas Eu(OH)3/NiCo2O4follows the oxygen pathway mechanism(OPM),preserving both catalytic activity and stability.This study offers a novel approach to controlling reaction pathways and proposes a new strategy for interface construction using rare earth hydroxides. 展开更多
关键词 Asymmetric dual-sites Mechanism regulation Spinel Rare earth hydroxides Oxygen evolution reaction
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Uncovering the urban-rural integration of China over the past 40 years:Measurement framework and spatial-temporal evolution 认领 引用 被引量：1
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作者 Chuanglin Fang Kewen Wang +6 位作者 Zehui Chen Zhitao Liu Menghang Liu Biao Sun Xia Liao Lingyu Meng Zhiying Yang 《Geography and Sustainability》 CSCD 2026年第3期51-62,共12页
Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integra... Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integration progress and address the uneven issues in specific fields,this study constructed a novel seven-dimension index system of urban-rural integration,comprising free population mobility,efficient land transfer,interactive economic growth,highly-linked transportation,equal public services,joint environmental governance and unimpeded informatization between urban and rural areas.Based on a comprehensive measurement framework and multi-source panel data,we uncovered the spatial-temporal evolution of urban-rural integration in China’s 367 prefecture-level administrative units from 1980 to 2022.The results demonstrated that China’s urban-rural integration steadily increased from 27.51 to 57.35 with an average annual growth rate of 3.40%.Whereas,the overall urban-rural integration was relatively inferior in 2022,at the level of moderate integration whose proportion of China’s land area was 88.08%.The urban-rural integration level in eastern region and urban agglomerations was higher than that in mid-west and non-urban agglomerations.From the perspective of seven dimensions,interactive economic growth,joint environmental governance and unimpeded informatization made an obvious improvement and reached higher integration,while free population mobility,efficient land transfer,highly-linked transportation and equal public services maintained the stage of moderate integration in 2022.In the future,China should make targeted efforts for urban-rural integration in terms of population,land use,transportation and public services,and accelerate urban-rural common prosperity in the mid-west and economically underdeveloped areas. 展开更多
关键词 Urban-rural integration Measurement framework Spatial-temporal evolution Heterogeneity China
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Insights into crystal growth and morphology evolution mechanism of multi-component carbide:Experiments and first-principles calculations 认领 引用 被引量：1
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作者 Yong Fan Yuyao Chen +7 位作者 Jin Wang Lei Gu Kaixuan Zhou Yuanyuan Gong Wei Liu Yonghao Zhao Xiangfa Liu Jinfeng Nie 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2026年第1期27-34,共8页
Multi-component transition metal carbides(MTMCs)have garnered significant attention for their out-standing high-temperature stability and versatile properties,which make them ideal candidates for a wide range of indus... Multi-component transition metal carbides(MTMCs)have garnered significant attention for their out-standing high-temperature stability and versatile properties,which make them ideal candidates for a wide range of industrial applications.However,the underlying mechanisms governing the crystal growth and morphological evolution of MTMCs remain poorly understood,hindering the design of materials with tailored characteristics.In this paper,we employ an in-situ liquid-solid reaction method to synthesize(HfTaZrNbTi)C MTMC powders and explore their crystal growth and morphology evolution.The synthesized(TiZrHfNbTa)C powders exhibit two distinct morphologies:cubic,primarily composed of Ti,Hf,Ta,and Zr with a small amount of Nb,and octahedral,rich in Ti and Ta with minor amounts of Hf,Nb,and Zr.First-principles calculations show that the surface energy of the(100)plane is lower than the(111)plane,leading to the formation of the cubic morphology.The octahedral morphology forms due to decreased mixing entropy and higher theoretical density compared to cubic particles.Our findings provide valuable insights into the crystal growth and morphology evolution mechanisms of high-entropy ceramics,contributing to the rational design of MTMCs with engineered crystal structures for diverse structural and functional applications. 展开更多
关键词 Multi-component carbide First-principles calculations Crystal growth Morphology evolution mechanism
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Dynamic evolution of copper-based catalysts during CO2 electroreduction 认领 引用 被引量：2
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作者 Zhizheng Wu Pengpeng Yang Minrui Gao 《Nano Materials Science》 EI CAS CSCD 2026年第3期687-702,共16页
The CO2 electroreduction reaction(CO2RR)is a promising approach of using renewable electricity to synthesize fuels and value-added chemicals.At present,Cu is generally considered to be the major monometallic cat... The CO2 electroreduction reaction(CO2RR)is a promising approach of using renewable electricity to synthesize fuels and value-added chemicals.At present,Cu is generally considered to be the major monometallic catalyst capable of producing multicarbon products(C2+)with high current densities from the CO2RR,but it still suffers from the low activity and high overpotential.The challenge of sluggish CO2RR kinetics can be overcome by developing efficient Cu-based catalysts,which undergo the dynamic evolution during the reaction process.The dynamic evolution of the Cu-based catalysts taking place under working conditions makes it difficult to study the structure-activity correlation and reaction mechanism present during CO2RR.Recently,a number of important works have observed and revealed the dynamic evolution process of Cu-based catalysts by operando characterization techniques.This aspect,however,remains less summarized and prospected in the CO2RR literature.In this Review,we summarize the dynamic evolution of Cu-based catalysts during the CO2RR from aspects of structure,composition and oxidation state.We highlight the correlations between evolution behaviors and catalytic properties.Then,we discuss the dynamic deactivation process of Cu-based catalysts during CO2RR,including metal impurities contamination and carbon accumulation.In particular,we introduce recent advancements in in situ characterization techniques those are employed to probe the dynamic evolution under operating conditions.We end the Review by outlining the challenges and offering personal perspectives on the future development opportunities in this field. 展开更多
关键词 Copper-based catalysts CO2electroreduction reaction Dynamic evolution
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Genetic insights into drainage evolution:Late Miocene river capture in the eastern Himalaya 认领 引用 被引量：1
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作者 Xiaoyun Sui Pengcheng Lin +3 位作者 Liuyong Ding Huanshan Wang Jonathan Waters Dekui He 《Journal of Systematics and Evolution》 SCIE CSCD 2026年第1期33-48,共16页
The unique geomorphology of rivers in the eastern Himalaya has long intrigued geologists,yet their drainage history remains debated.Drainage reorganization can have a significant impact on genetic differentiation in f... The unique geomorphology of rivers in the eastern Himalaya has long intrigued geologists,yet their drainage history remains debated.Drainage reorganization can have a significant impact on genetic differentiation in freshwater taxa.This study employs the cold-adapted fish genus Schizothorax as a biogeographic proxy to reconstruct the evolutionary history of the Yarlung Tsangpo-Brahmaputra River(YTB),with a focus on a prominent hanging valley tributary-trunk stream system.Phylogeographic analyses of mitochondrial cyt b gene sequences identified a monophyletic QTP-YGP clade comprising species from the Qinghai-Tibet Plateau(QTP)and the Yunnan-Guizhou Plateau(YGP).Within the QTP-YGP lineage,YTB species represent the earliest diverging clade.In contrast,species from the Indus and Ganges basins are more closely related to congeners from the southeastern QTP and YGP.The YTB assemblage is further subdivided into two distinct clades.Molecular dating suggests that the YTB lineage diverged from the broader QTP-YGP group during the early Late Miocene,with the two YTB clades separating in the Late Miocene.We propose that a paleo-Yarlung Tsangpo-Dingba(Dibang)-Brahmaputra river and a Yigong-Parlung-Zayul(Lohit)river were established prior to the Late Miocene and were subsequently captured by the lower Yarlung Tsangpo River—via the Siang and Zhaqu,respectively—during the late Miocene and Quaternary.The modern YTB drainage configuration was established by the late Early Pleistocene.This study underscores the importance of integrating genetic,fauna and geomorphological data to understand the complex evolution of drainages in the eastern Himalayas. 展开更多
关键词 cladogenetic event paleo-drainage evolution river capture the eastern Himalayan syntaxis Yarlung Tsangpo
Advances of the bifunctional electrocatalyst toward oxygen reduction/evolution reaction 认领 引用 被引量：1
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作者 Yongxia Wang Shuang Li +7 位作者 Mengli Li Xi Luo Yang Zhang Xiangzhi Cui Guicheng Liu Woochul Yang Haitao Huang Jinli Qiao 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第3期574-607,共34页
The development of economical,highly efficient,and stable bifunctional electrocatalysts for both the oxygen evolution reaction(OER)and the oxygen reduction reaction(ORR)remains a critical focus in advancing rechargeab... The development of economical,highly efficient,and stable bifunctional electrocatalysts for both the oxygen evolution reaction(OER)and the oxygen reduction reaction(ORR)remains a critical focus in advancing rechargeable metal-air battery systems.Significant progress has been made in the design of high-performance bifunctional electrocatalysts,the development of novel oxygen electrode architectures,and the in-depth understanding of electrocatalytic mechanisms through combined experimental and computational studies.This work provides a comprehensive review of recent advancements in design strategies for oxygen catalysts,including homogeneous electrodes,asymmetric electrodes,and biomimetic electrodes,are thoroughly discussed and summarized.Then,the advanced catalyst modification strategies for ORR/OER are summarized,focusing on critical factors such as enhancement effect of metalonmental and synergistic enhancement effect in multiple catalyst.Subsequently,a representative performance evaluation is presented,based on the reported oxygen electrodes used in rechargeable metal-air battery applications.By focusing on these key areas,the review outlines the current challenges and future prospects for the development of bifunctional oxygen electrocatalysts,aiming to guide the design of high-performance bifunctional electrocatalysts and to elucidate the underlying mechanisms involved. 展开更多
关键词 Oxygen reduction reaction Oxygen evolution reaction Design strategy Modification Rechargeable metal-air battery
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Efficient electrocatalytic oxygen evolution enabled by porous Eu-Ni(PO3)2 nanosheet arrays 认领 引用 被引量：1
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作者 Pu Wang Xiangrui Wu +6 位作者 Meng Li Xuan Wang Huiyu Wang Qiuzi Huang Hao Li Yawen Tang Gengtao Fu 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第2期595-603,共9页
Phosphorous compounds have garnered significant interest as catalysts for the oxygen evolution reaction(OER).However,their catalytic performance often falls short,limiting their widespread application in electrocataly... Phosphorous compounds have garnered significant interest as catalysts for the oxygen evolution reaction(OER).However,their catalytic performance often falls short,limiting their widespread application in electrocatalysis.The objective of this work is to improve the OER performance of nickel metaphosphate(Ni(PO3)2)by incorporating rare-earth europium(Eu).The prepared Eu-Ni(PO3)2exhibits significant electron redistribution and features porous nanosheet arrays.The optimized Eu-Ni(PO3)2exhibits outstanding OER activity,with an overpotential of 273 mV at 10 mA/cm,rapid OER kinetics with a Tafel slope of 39.4 m V/dec,and excellent electrochemical stability.These results surpass the performance of Ni(PO3)2,many reported Ni-based catalysts,and even commercial RuO2.Operando Raman spectroscopy reveals that the improvement of OER performance on Eu-Ni(PO3)2is due to the accelerated formation of surface Ni OOH active species and the enhanced interfacial water enrichment during OER.Density functional theory(DFT)calculations further demonstrate that Eu doping induces electronic modulation between the Eu sites and adjacent O-Ni sites,resulting in an optimized thermodynamic pathway with balanced adsorption energies for key oxygen intermediates,thus alleviating thermodynamic limitations during OER. 展开更多
关键词 Europium Nickel metaphosphate Nanosheet arrays Oxygen evolution reaction Electronic state modulation Rare earths
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Bearing capacity,shear band evolution,and deformation characteristics of slopes reinforced by root-inspired anchors using transparent soil model testing 认领 引用 被引量：1
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作者 Ruijie Huang Wengang Zhang +6 位作者 Jiaying Xiang Ningning Zhang Matteo Oryem Ciantia Jian Yin Leilei Liu Jushan Wang Anzhai Fei 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期457-471,共15页
Root-inspired anchorage systems in the field of bio-inspired geotechnics are renowned for enhancing the pullout capacity of traditional geotechnical anchorage systems by simulating the morphology and architecture of p... Root-inspired anchorage systems in the field of bio-inspired geotechnics are renowned for enhancing the pullout capacity of traditional geotechnical anchorage systems by simulating the morphology and architecture of plant root systems.However,limited studies have explored their practical applications,particularly in improving slope stability.To fill this gap,this study investigates the reinforcement effect of root-inspired anchors on slope stabilization using transparent soil modeling and 3D-printed anchors,and examines the impact of anchor branching patterns(i.e.branching numbers,branching angle,and branching nodes)on slope bearing capacity,shear band evolution,and temporal and spatial variation of slope deformation.The results show that peak slope bearing capacity increases with branching numbers and branching angles,correlating with the envelope area of the curved shear band.Upper anchors result in step-like deflections in the shear band near the trailing edge,while lower anchors convert the upward concave shear band into an upward convex one,thus increasing the slope bearing capacity.Slope deformation is minimized with intermediate branching parameters,such as a branching number of 4 and a branching angle of 45°.The anchor reinforcement mechanisms,i.e.anchor rod shear resistance,interface friction,anchor pullout capacity,and plate tightening effects,are comprehensively discussed,and the installation effects resulting from compromise slope modeling are identified as the contributors.These findings shed light on the failure process of root-inspired anchors reinforced slopes and provide a preliminary reference for potential applications,especially for the tradeoff between anchor branching,slope deformation,and slope stability. 展开更多
关键词 Bio-inspired geotechnics Root-inspired anchors Transparent cemented soil Slope bearing capacity Shear band evolution
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Influence of aggregate particle size on fracture behavior and energy evolution of cemented rockfill in the post-peak stage 认领 引用 被引量：1
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作者 Zhu Li Weibing Zhu +4 位作者 Qingdong Qu Jialin Xu Guorui Feng Chunlei Guo Jingmin Xu 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第3期667-685,共19页
Cemented rockfill(CRF)combines structural support with sustainable reuse of coal-derived solid waste.This study integrates digital image correlation,acoustic emission monitoring,and finite-discrete element simulations... Cemented rockfill(CRF)combines structural support with sustainable reuse of coal-derived solid waste.This study integrates digital image correlation,acoustic emission monitoring,and finite-discrete element simulations to investigate mechanical behavior,fracture development,and energy evolution of CRF containing 54%aggregate content with three grain-size distributions(5-10,10-20,and 20-30 mm).Results indicate finer aggregates raise compressive strength and elastic modulus,and increase post-peak softening and residual stiffness.Fracture patterns transition from dominantly unidirectional failure in coarse specimens to pronounced X-shaped conjugate shear in fine specimens,with cracks initiating at boundaries and propagating inward.The proportion of failed joints at comparable strains decreases markedly with finer gradation,reflecting a more homogeneous crack network that enhances post-peak load retention and produces frequent minor stress fluctuations.Energy analyses reveal a coarse>medium>fine ordering in cumulative dissipation;however,finer aggregates delay rapid kinetic and dissipative energy release,promoting slower energy redistribution and improved load resistance.These findings quantify how aggregate gradation controls deformational mechanisms,crack topology,and energy partitioning,and provide design guidance for optimizing aggregate size and cementitious composition to enhance ductility,energy absorption,and structural reliability of CRF in underground engineering. 展开更多
关键词 Cemented rockfill(CRF) Aggregate particle size Post-peak bearing characteristics Crack propagation Energy evolution
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Carbon sequestration amount evolution characteristics and reaction mechanisms in coal-based solid waste backfill:A new whole-process carbon sequestration technique 认领 引用 被引量：2
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作者 Nan Zhou Jixiong Zhang +1 位作者 Yuzhe Zhang Hao Yan 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第1期43-55,共13页
Underground carbon sequestration(CS)by solid waste backfill(SWB)offers an effective pathway for collaborative disposal of coal-based solid waste and CO2,where the amount of carbon sequestration is an important eval... Underground carbon sequestration(CS)by solid waste backfill(SWB)offers an effective pathway for collaborative disposal of coal-based solid waste and CO2,where the amount of carbon sequestration is an important evaluation parameter.In this study,the concept of whole-process carbon sequestration using coal-based solid waste and CO2,including sequential stirring and curing stages,was proposed to evaluate the performance evolution of CS.The results showed that CO2 pressure and ambient temperature positively correlated with the CS amount from coal-based SWB.In particular,CO2 pressure prevailed in the stirring stage,while the ambient temperature effect was more significant in the curing stage.The CS amounts obtained during the stirring stage alone,the curing stage alone,and two sequential stages ranged from 0.66%–3.10%,3.53%–5.09%,and 5.12%–6.02%,respectively.The functional group and micromorphology analyses revealed that the prevailing mechanism at the CS stirring stage was the stirringdriven gas dissolution-leaching-mineralization reaction,while that at the curing stage was the hydration-driven gas permeation-dissociation-CS reaction.Both were essentially solid-liquid-gas multiphase chemical reactions.The results are instrumental in substantiating the coal-based SWB carbon sequestration evolution patterns and mechanisms and providing data support for waste disposal and carbon emission reduction in the coal industry. 展开更多
关键词 Whole-process carbon sequestration Stirring stage Curing stage Carbon sequestration performance evolution Ambient temperature CO2pressure
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