In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the op...In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the optimality conditions of the problem,we introduce appropriate affine matrix and construct an affine scaling ARC subproblem with linearized constraints.Composite step methods and reduced Hessian methods are applied to tackle the linearized constraints.As a result,a standard unconstrained ARC subproblem is deduced and its solution can supply sufficient decrease.The fraction to the boundary rule maintains the strict feasibility(for nonnegative constraints on variables)of every iteration point.Reflection techniques are employed to prevent the iterations from approaching zero too early.Under mild assumptions,global convergence of the algorithm is analysed.Preliminary numerical results are reported.展开更多
The Kibble-Zurek (KZ) effect offers an overarching description of dynamical scaling behavior near a critical point.[1,2] Originally proposed in a classical setup,the KZ effect has been generalized to quantum phase tra...The Kibble-Zurek (KZ) effect offers an overarching description of dynamical scaling behavior near a critical point.[1,2] Originally proposed in a classical setup,the KZ effect has been generalized to quantum phase transitions[3-5] and is actively explored on quantum simulation platforms.[6-9] Exploring how the KZ effect fares across different criticalities has proven to be a rewarding pursuit,significantly enriching our understanding of nonequilibrium quantum dynamics.[3-5,10-23]展开更多
Phase transitions,as one of the most intriguing phenomena in nature,are divided into first-order phase transitions(FOPTs)and continuous ones in current classification.While the latter shows striking phenomena of scali...Phase transitions,as one of the most intriguing phenomena in nature,are divided into first-order phase transitions(FOPTs)and continuous ones in current classification.While the latter shows striking phenomena of scaling and universality,the former has recently also been demonstrated to exhibit scaling and universal behavior within a mesoscopic,coarse-grained Landau-Ginzburg theory.Here we apply this theory to a microscopic model-the paradigmatic Ising model,which undergoes FOPTs between two ordered phases below its critical temperature-and unambiguously demonstrate universal scaling behavior in such FOPTs.These results open the door for extending the theory to other microscopic FOPT systems and experimentally testing them to systematically uncover their scaling and universal behavior.展开更多
Monte Carlo(MC) simulations have been performed to refine the estimation of the correction-toscaling exponent ω in the 2D φ^(4)model,which belongs to one of the most fundamental universality classes.If corrections h...Monte Carlo(MC) simulations have been performed to refine the estimation of the correction-toscaling exponent ω in the 2D φ^(4)model,which belongs to one of the most fundamental universality classes.If corrections have the form ∝ L^(-ω),then we find ω=1.546(30) andω=1.509(14) as the best estimates.These are obtained from the finite-size scaling of the susceptibility data in the range of linear lattice sizes L ∈[128,2048] at the critical value of the Binder cumulant and from the scaling of the corresponding pseudocritical couplings within L∈[64,2048].These values agree with several other MC estimates at the assumption of the power-law corrections and are comparable with the known results of the ε-expansion.In addition,we have tested the consistency with the scaling corrections of the form ∝ L^(-4/3),∝L^(-4/3)In L and ∝L^(-4/3)/ln L,which might be expected from some considerations of the renormalization group and Coulomb gas model.The latter option is consistent with our MC data.Our MC results served as a basis for a critical reconsideration of some earlier theoretical conjectures and scaling assumptions.In particular,we have corrected and refined our previous analysis by grouping Feynman diagrams.The renewed analysis gives ω≈4-d-2η as some approximation for spatial dimensions d <4,or ω≈1.5 in two dimensions.展开更多
Tai'an city,located in Shandong Province,China,is rich in geothermal resources,characterized by shallow burial,high water temperature,and abundant water supply,making them high value for exploitation.However,corro...Tai'an city,located in Shandong Province,China,is rich in geothermal resources,characterized by shallow burial,high water temperature,and abundant water supply,making them high value for exploitation.However,corrosion and scaling are main challenges that hinder the widespread application and effective utilization of geothermal energy.This study focuses on the typical geothermal fields in Tai'an,employing qualitative evaluations of the geochemical saturation index with temperature,combined with the corrosion coefficient,Ryznar index,boiler scale,and hard scale assessment,to predict corrosion and scaling trends in the geothermal water of the study area.The results show that the hydrochemical types of geothermal water in the study area are predominantly Na-Ca-SO^(4)and Ca-Na-SO_(4)-HCO_(3),with the water being weakly alkaline.Simulations of saturation index changes with temperature reveal that calcium carbonate scaling is dominant scaling type in the area,with no evidence of calcium sulfate scaling.In the Daiyue Qiaogou geothermal field,the water exhibited corrosive bubble water properties,moderate calcium carbonate scaling,and abundant boiler scaling.Feicheng Anjiazhuang geothermal field showed non-corrosive bubble water,moderate calcium carbonate scaling,and significant boiler scaling.The Daidao'an geothermal field presented corrosive semi-bubble water,moderate calcium carbonate scaling,and abundant boiler scaling.The findings provide a foundation for the efficient exploitation of geothermal resources in the region.Implementing anti-corrosion and scale prevention measures can significantly enhance the utilization of geothermal energy.展开更多
Slippery liquid-infused porous surfaces(SLIPS)with exceptional liquid repellency and extremely low sliding angles demonstrate significant potential for applications in anti-corrosion,anti-fouling,and anti-scaling.Howe...Slippery liquid-infused porous surfaces(SLIPS)with exceptional liquid repellency and extremely low sliding angles demonstrate significant potential for applications in anti-corrosion,anti-fouling,and anti-scaling.However,the poor stability of the oil layer restricts its practical applications.Herein,a durable SLIPS coating with highly stable oil layer was developed by combining hierarchical porous structures with covalent interpenetrating networks and multiple interfacial interactions.The hierarchical porous structure was constructed via urea thermal decomposition with in situ hybridization of SiO_(2)and embedded carbon nanotubes(CNTs).Furthermore,the oil layer was chemically immobilized on the coating surface using methylenediphenyl diisocyanate(MDI)as a molecular bridge,leveraging interfacial covalent bonding andπ-OH interactions,which significantly enhanced its anti-corrosion properties,with an initial|Z|_(0.01 Hz)of1.22×10^(8)Ωcm^(2).Dynamic scaling experiments revealed a 96.47%improvement in scaling inhibition efficiency compared to conventional superhydrophobic coatings,showing its excellent anti-scaling properties.Owing to the durability and liquidity of oi layer,the prepared FEVE-SiO_(2)/CNTs@MDI SLIPS coating maintained outstanding slippery performance(water sliding angle<10°)even after 14 days of underwater immersion.Additionally,the coating also exhibited excellent thermal stability(120°C),remarkable shear resistance(5000 rpm),and ultraviolet resistance performance.Therefore,the prepared FEVE-SiO_(2)/CNTs@MDI SLIPS coating has broad practical application prospects in the field of industrial oilfield pipeline protection.展开更多
The coconut structure exhibits inherent impact resistance,with the macroscopically ordered distribution of variable crosssection fibers in its husk playing a crucial role in stress wave propagation and scaling.Inspire...The coconut structure exhibits inherent impact resistance,with the macroscopically ordered distribution of variable crosssection fibers in its husk playing a crucial role in stress wave propagation and scaling.Inspired by the natural structure and fibers,this study proposes a stress wave propagation model for a variable cross-section bar considering viscous effects.A theoretical model for stress wave propagation in a fusiform-shaped bar with variable cross-section is established,elucidating the stress wave scaling effect observed in coconut fibers.Additionally,a quasi-one-dimensional method for analyzing and measuring stress wave propagation is introduced,and an experimental setup is assembled.Experimental validation of the stress wave scaling effect confirms the theory’s accuracy for stress wave scaling in variable cross-section bars.This research provides theoretical guidance and measurement methods for the design of space landers,automobile anti-collision beams,stress wave collectors,and scalers,as well as for impact testing of macro and micro materials and the design of sustainable plant-based materials for impact protection.展开更多
Context:In the dynamic and constantly evolving world of agriculture,promoting innovation and ensuring sustainable growth are crucial.A planned division of tasks and responsibilities within agricultural systems,known a...Context:In the dynamic and constantly evolving world of agriculture,promoting innovation and ensuring sustainable growth are crucial.A planned division of tasks and responsibilities within agricultural systems,known as efficient role allocation,is necessary to make this vision a reality.Climate-smart agriculture(CSA)movement enjoys widespread support from the research and development community because it seeks to improve livelihoods in response to climate change.Objective:This study explores an innovative approach to optimizing role assignment within agricultural frameworks to effectively scale AI-driven innovations.By leveraging advanced algorithms and machine learning techniques,the research aims to streamline the allocation of tasks and responsibilities among various stakeholders,including farmers,agronomists,technicians,and AI systems.Methods:The methodology involves the development of a dynamic role assignment model that considers factors such as expertise,resource availability,and real-time environmental data.This model is tested in various agricultural scenarios to evaluate its impact on operational efficiency and innovation scalability.The findings demonstrate that optimized role assignment not only enhances the performance of AI applications but also fosters a collaborative ecosystem that is adaptable to changing agricultural demands.Results:&Discussion:This research finds a number of elements that affect how well duties are distributed within agricultural frameworks,including organizational frameworks,leadership,resource accessibility,and cooperative efforts through AI.In addition to advocating for its comprehensive integration into the sector's culture,this paper offers a collection of best practices and techniques for optimizing role allocation in agriculture.Additionally,the study gives a thorough overview,summary,and analysis of a few papers that are specifically concerned with scaling innovation in the field of agricultural research for development.Significance:Furthermore,the study highlights the potential of AI to transform traditional farming practices,reduce labor-intensive processes,and improve decision-making accuracy.The proposed approach serves as a blueprint for agricultural enterprises aiming to adopt AI technologies while ensuring optimal utilization of human and technological resources.By addressing the challenges of role ambiguity and resource allocation,this research contributes to the broader goal of achieving sustainable and resilient agricultural systems through technological innovation.展开更多
Efficient and stable electrocatalysts are essential for seawater splitting to sustain electrolysis without chloride corrosion,particularly at the anode.Furthermore,the oxygen evolution reaction(OER)requires high overp...Efficient and stable electrocatalysts are essential for seawater splitting to sustain electrolysis without chloride corrosion,particularly at the anode.Furthermore,the oxygen evolution reaction(OER)requires high overpotential due to the universal scaling relationship.Herein,molybdenum doping FeNi_(2)Se_(4)with lattice distortion is proposed to break the scaling relationship.Mo-FeNi_(2)Se_(4)shows high performance in direct seawater electrolysis and achieves current densities of 10 and 100 mA cm^(−2) at overpotentials of 190 and 250 mV,respectively,together with high OER selectivity and long-term stability.It is found that the lattice distortion induced by Mo doping in(3 1 0)plane of FeNi_(2)Se_(4),leads to a decrease in the d-band center and the adsorption energy of ^(*)O,which not only breaks the scaling relationship of OER but also lowers the energy barriers of rate-determining step.Moreover,it enhances the corrosion resistance to Cl^(−),and realizes the high-efficiency seawater electrolysis driven by photovoltaic.展开更多
The catalytic activity and selectivity of CO_(2)reduction reaction(CO_(2)RR)towards C1 and C2 products are fundamentally restricted by the inherent linear scaling relationship among the adsorption-free energies of int...The catalytic activity and selectivity of CO_(2)reduction reaction(CO_(2)RR)towards C1 and C2 products are fundamentally restricted by the inherent linear scaling relationship among the adsorption-free energies of intermediates.To face this challenge,we have proposed a novel multifunctional M1M2@BN electrocatalysts to break the linear scaling relationships in CO_(2)RR and efficiently obtain C1 and C2 products.Our results reveal that the optimal limiting potential is increased from−0.58 V for M@BN to−0.39 V for M1M2@BN,which achieves ultrahigh activity of CO_(2)RR.Further mechanism analysis illuminates that M1M2@BN can selectivity modulate the adsorption strength of OCHO*and OCH_(2)O*/OCHOH*,breaking the linear scaling relationship of adsorption-free energies of key intermediates to achieve the enhanced catalytic activity.Notably,the sufficient active sites on M_(1)M_(2)@BN electrocatalysts can promote the sluggish C–C coupling by capturing two CO intermediates simultaneously,further generating high-value multi-carbon(CH_(2)CH_(2)OH)products.Meanwhile,the thermodynamic stability of M1M2@BN has been demonstrated by ab initio molecular dynamics(AIMD)simulations,which shows the feasibility of commercial application in CO_(2)RR.Our findings provide a novel strategy to modulate the binding strength of intermediates and develop the design of efficient multi-active-site CO_(2)RR electrocatalysts.展开更多
Kibble-Zurek scaling is the scaling of the density of topological defects formed via the Kibble-Zurek mechanism with respect to the rate at which a system is cooled across a continuous phase transition.Recently,the de...Kibble-Zurek scaling is the scaling of the density of topological defects formed via the Kibble-Zurek mechanism with respect to the rate at which a system is cooled across a continuous phase transition.Recently,the density of the topological defects formed via the Kibble-Zurek mechanism was estimated for a system cooled through a first-order phase transition rather than conventional continuous transitions.Here we address the problem of whether such defects generated across a first-order phase transition exhibit Kibble-Zurek scaling similar to the case in continuous phase transitions.We show that any possible Kibble-Zurek scaling for the topological defects can only be a very rough approximation due to an intrinsic field responsible for the scaling.However,complete universal scaling for other properties does exist.展开更多
Cowl-induced incident Shock Wave/Boundary Layer Interactions (SWBLI) under the influence of gradual expansion waves are frequently observed in supersonic inlets. However, the analysis and prediction of interaction len...Cowl-induced incident Shock Wave/Boundary Layer Interactions (SWBLI) under the influence of gradual expansion waves are frequently observed in supersonic inlets. However, the analysis and prediction of interaction lengths have not been sufficiently investigated. First, this study presents a theoretical scaling analysis and validates it through wind tunnel experiments. It conducts detailed control volume analysis of mass conservation, considering the differences between inviscid and viscous cases. Then, three models for analysing interaction length under gradual expansion waves are derived. Related experiments using schlieren photography are conducted to validate the models in a Mach 2.73 flow. The interaction scales are captured at various relative distances between the shock impingement location and the expansion regions with wedge angles ranging from 12° to 15° and expansion angles of 9°, 12°, and 15°. Three trend lines are plotted based on different expansion angles to depict the relationship between normalised interaction length and normalised interaction strength metric. In addition, the relationship between the coefficients of the trend line and the expansion angles is introduced to predict the interaction length influenced by gradual expansion waves. Finally, the estimation of normalised interaction length is derived for various coefficients within a unified form.展开更多
We propose the scaling rule of Morse oscillator,based on this rule and by virtue of the Her-mann-Feymann theorem,we respectively obtain the distribution of potential and kinetic ener-gy of the Morse Hamiltonian.Also,w...We propose the scaling rule of Morse oscillator,based on this rule and by virtue of the Her-mann-Feymann theorem,we respectively obtain the distribution of potential and kinetic ener-gy of the Morse Hamiltonian.Also,we derive the exact upper limit of physical energy level.Further,we derive some recursive relations for energy matrix elements of the potential and other similar operators in the context of Morse oscillator theory.展开更多
Driven critical dynamics in quantum phase transitions holds significant theoretical importance,and also has practical applications in fast-developing quantum devices.While scaling corrections have been shown to play i...Driven critical dynamics in quantum phase transitions holds significant theoretical importance,and also has practical applications in fast-developing quantum devices.While scaling corrections have been shown to play important roles in fully characterizing equilibrium quantum criticality,their impact on nonequilibrium critical dynamics has not been extensively explored.In this work,we investigate the driven critical dynamics in a two-dimensional quantum Heisenberg model.We find that in this model the scaling corrections arising from both finite system size and finite driving rate must be incorporated into the finite-time scaling form in order to properly describe the nonequilibrium scaling behaviors.In addition,improved scaling relations are obtained from the expansion of the full scaling form.We numerically verify these scaling forms and improved scaling relations for different starting states using the nonequilibrium quantum Monte Carlo algorithm.展开更多
We investigate the smoothing effect of the spatially inhomogeneous Boltzmann equation without an angular cut-off,under the Navier-Stokes scaling.For Maxwellian molecules or hard potentials with singular angular kernel...We investigate the smoothing effect of the spatially inhomogeneous Boltzmann equation without an angular cut-off,under the Navier-Stokes scaling.For Maxwellian molecules or hard potentials with singular angular kernels,we demonstrate that the solutions become analytic at positive times when the angular singularities are sufficiently strong and lie within the optimal Gevrey class when the singularities are mild.The analysis is based on carefully selected vector fields with time-dependent coefficients and quantitative estimates of directional derivatives,which reveal the behavior of the kinetic-fluid transition.展开更多
基金Supported by the National Natural Science Foundation of China(12071133)Natural Science Foundation of Henan Province(252300421993)Key Scientific Research Project of Higher Education Institutions in Henan Province(25B110005)。
文摘In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the optimality conditions of the problem,we introduce appropriate affine matrix and construct an affine scaling ARC subproblem with linearized constraints.Composite step methods and reduced Hessian methods are applied to tackle the linearized constraints.As a result,a standard unconstrained ARC subproblem is deduced and its solution can supply sufficient decrease.The fraction to the boundary rule maintains the strict feasibility(for nonnegative constraints on variables)of every iteration point.Reflection techniques are employed to prevent the iterations from approaching zero too early.Under mild assumptions,global convergence of the algorithm is analysed.Preliminary numerical results are reported.
文摘The Kibble-Zurek (KZ) effect offers an overarching description of dynamical scaling behavior near a critical point.[1,2] Originally proposed in a classical setup,the KZ effect has been generalized to quantum phase transitions[3-5] and is actively explored on quantum simulation platforms.[6-9] Exploring how the KZ effect fares across different criticalities has proven to be a rewarding pursuit,significantly enriching our understanding of nonequilibrium quantum dynamics.[3-5,10-23]
基金supported by the National Natural Science Foundation of China(Grant No.12175316).
文摘Phase transitions,as one of the most intriguing phenomena in nature,are divided into first-order phase transitions(FOPTs)and continuous ones in current classification.While the latter shows striking phenomena of scaling and universality,the former has recently also been demonstrated to exhibit scaling and universal behavior within a mesoscopic,coarse-grained Landau-Ginzburg theory.Here we apply this theory to a microscopic model-the paradigmatic Ising model,which undergoes FOPTs between two ordered phases below its critical temperature-and unambiguously demonstrate universal scaling behavior in such FOPTs.These results open the door for extending the theory to other microscopic FOPT systems and experimentally testing them to systematically uncover their scaling and universal behavior.
文摘Monte Carlo(MC) simulations have been performed to refine the estimation of the correction-toscaling exponent ω in the 2D φ^(4)model,which belongs to one of the most fundamental universality classes.If corrections have the form ∝ L^(-ω),then we find ω=1.546(30) andω=1.509(14) as the best estimates.These are obtained from the finite-size scaling of the susceptibility data in the range of linear lattice sizes L ∈[128,2048] at the critical value of the Binder cumulant and from the scaling of the corresponding pseudocritical couplings within L∈[64,2048].These values agree with several other MC estimates at the assumption of the power-law corrections and are comparable with the known results of the ε-expansion.In addition,we have tested the consistency with the scaling corrections of the form ∝ L^(-4/3),∝L^(-4/3)In L and ∝L^(-4/3)/ln L,which might be expected from some considerations of the renormalization group and Coulomb gas model.The latter option is consistent with our MC data.Our MC results served as a basis for a critical reconsideration of some earlier theoretical conjectures and scaling assumptions.In particular,we have corrected and refined our previous analysis by grouping Feynman diagrams.The renewed analysis gives ω≈4-d-2η as some approximation for spatial dimensions d <4,or ω≈1.5 in two dimensions.
基金funded by the Key R&D Program of Henan,China(No.241111321000)China Geological Survey Program(DD20221676).
文摘Tai'an city,located in Shandong Province,China,is rich in geothermal resources,characterized by shallow burial,high water temperature,and abundant water supply,making them high value for exploitation.However,corrosion and scaling are main challenges that hinder the widespread application and effective utilization of geothermal energy.This study focuses on the typical geothermal fields in Tai'an,employing qualitative evaluations of the geochemical saturation index with temperature,combined with the corrosion coefficient,Ryznar index,boiler scale,and hard scale assessment,to predict corrosion and scaling trends in the geothermal water of the study area.The results show that the hydrochemical types of geothermal water in the study area are predominantly Na-Ca-SO^(4)and Ca-Na-SO_(4)-HCO_(3),with the water being weakly alkaline.Simulations of saturation index changes with temperature reveal that calcium carbonate scaling is dominant scaling type in the area,with no evidence of calcium sulfate scaling.In the Daiyue Qiaogou geothermal field,the water exhibited corrosive bubble water properties,moderate calcium carbonate scaling,and abundant boiler scaling.Feicheng Anjiazhuang geothermal field showed non-corrosive bubble water,moderate calcium carbonate scaling,and significant boiler scaling.The Daidao'an geothermal field presented corrosive semi-bubble water,moderate calcium carbonate scaling,and abundant boiler scaling.The findings provide a foundation for the efficient exploitation of geothermal resources in the region.Implementing anti-corrosion and scale prevention measures can significantly enhance the utilization of geothermal energy.
基金financially supported by the National Natural Science Foundation of China(No.52203136)Heilongjiang Provincial Natural Science Foundation for Excellent Youth Fund(No.YQ2024E007)+4 种基金Natural Science Foundation of Heilongjiang Province(No.LH2022E015)the China Postdoctoral Science Foundation(No.2024MD753912)Heilongjiang Postdoctoral Fund(No.LBH-Z24107)Northeast Petroleum University Cultivation Foundation for‘National fund’(No.2023GPL-04)Northeast Petroleum University Scientic Research Foundation for Advanced Talents(Nos.2021KQ05,2019KQ85)
文摘Slippery liquid-infused porous surfaces(SLIPS)with exceptional liquid repellency and extremely low sliding angles demonstrate significant potential for applications in anti-corrosion,anti-fouling,and anti-scaling.However,the poor stability of the oil layer restricts its practical applications.Herein,a durable SLIPS coating with highly stable oil layer was developed by combining hierarchical porous structures with covalent interpenetrating networks and multiple interfacial interactions.The hierarchical porous structure was constructed via urea thermal decomposition with in situ hybridization of SiO_(2)and embedded carbon nanotubes(CNTs).Furthermore,the oil layer was chemically immobilized on the coating surface using methylenediphenyl diisocyanate(MDI)as a molecular bridge,leveraging interfacial covalent bonding andπ-OH interactions,which significantly enhanced its anti-corrosion properties,with an initial|Z|_(0.01 Hz)of1.22×10^(8)Ωcm^(2).Dynamic scaling experiments revealed a 96.47%improvement in scaling inhibition efficiency compared to conventional superhydrophobic coatings,showing its excellent anti-scaling properties.Owing to the durability and liquidity of oi layer,the prepared FEVE-SiO_(2)/CNTs@MDI SLIPS coating maintained outstanding slippery performance(water sliding angle<10°)even after 14 days of underwater immersion.Additionally,the coating also exhibited excellent thermal stability(120°C),remarkable shear resistance(5000 rpm),and ultraviolet resistance performance.Therefore,the prepared FEVE-SiO_(2)/CNTs@MDI SLIPS coating has broad practical application prospects in the field of industrial oilfield pipeline protection.
基金supported by the National Natural Science Foundation of China(Grant Nos.11922206 and 11832011)theMajor Project of Science and Technology Innovation 2030(Grant No.2021ZD0113100)the 111 Project(Grant No.B16015).
文摘The coconut structure exhibits inherent impact resistance,with the macroscopically ordered distribution of variable crosssection fibers in its husk playing a crucial role in stress wave propagation and scaling.Inspired by the natural structure and fibers,this study proposes a stress wave propagation model for a variable cross-section bar considering viscous effects.A theoretical model for stress wave propagation in a fusiform-shaped bar with variable cross-section is established,elucidating the stress wave scaling effect observed in coconut fibers.Additionally,a quasi-one-dimensional method for analyzing and measuring stress wave propagation is introduced,and an experimental setup is assembled.Experimental validation of the stress wave scaling effect confirms the theory’s accuracy for stress wave scaling in variable cross-section bars.This research provides theoretical guidance and measurement methods for the design of space landers,automobile anti-collision beams,stress wave collectors,and scalers,as well as for impact testing of macro and micro materials and the design of sustainable plant-based materials for impact protection.
文摘Context:In the dynamic and constantly evolving world of agriculture,promoting innovation and ensuring sustainable growth are crucial.A planned division of tasks and responsibilities within agricultural systems,known as efficient role allocation,is necessary to make this vision a reality.Climate-smart agriculture(CSA)movement enjoys widespread support from the research and development community because it seeks to improve livelihoods in response to climate change.Objective:This study explores an innovative approach to optimizing role assignment within agricultural frameworks to effectively scale AI-driven innovations.By leveraging advanced algorithms and machine learning techniques,the research aims to streamline the allocation of tasks and responsibilities among various stakeholders,including farmers,agronomists,technicians,and AI systems.Methods:The methodology involves the development of a dynamic role assignment model that considers factors such as expertise,resource availability,and real-time environmental data.This model is tested in various agricultural scenarios to evaluate its impact on operational efficiency and innovation scalability.The findings demonstrate that optimized role assignment not only enhances the performance of AI applications but also fosters a collaborative ecosystem that is adaptable to changing agricultural demands.Results:&Discussion:This research finds a number of elements that affect how well duties are distributed within agricultural frameworks,including organizational frameworks,leadership,resource accessibility,and cooperative efforts through AI.In addition to advocating for its comprehensive integration into the sector's culture,this paper offers a collection of best practices and techniques for optimizing role allocation in agriculture.Additionally,the study gives a thorough overview,summary,and analysis of a few papers that are specifically concerned with scaling innovation in the field of agricultural research for development.Significance:Furthermore,the study highlights the potential of AI to transform traditional farming practices,reduce labor-intensive processes,and improve decision-making accuracy.The proposed approach serves as a blueprint for agricultural enterprises aiming to adopt AI technologies while ensuring optimal utilization of human and technological resources.By addressing the challenges of role ambiguity and resource allocation,this research contributes to the broader goal of achieving sustainable and resilient agricultural systems through technological innovation.
基金financially supported by the National Natural Science Foundation of China(Nos.22471289,22478430,22101300,and 22275210)Shandong Natural Science Foundation(Nos.ZR2022ME105 and ZR2023ME004)+1 种基金Qingdao Natural Science Foundation(No.23-2-1-232-zyyd-jch)the Fundamental Research Funds for the Central Universities(Nos.22CX03010A,and 22CX01002A-1).
文摘Efficient and stable electrocatalysts are essential for seawater splitting to sustain electrolysis without chloride corrosion,particularly at the anode.Furthermore,the oxygen evolution reaction(OER)requires high overpotential due to the universal scaling relationship.Herein,molybdenum doping FeNi_(2)Se_(4)with lattice distortion is proposed to break the scaling relationship.Mo-FeNi_(2)Se_(4)shows high performance in direct seawater electrolysis and achieves current densities of 10 and 100 mA cm^(−2) at overpotentials of 190 and 250 mV,respectively,together with high OER selectivity and long-term stability.It is found that the lattice distortion induced by Mo doping in(3 1 0)plane of FeNi_(2)Se_(4),leads to a decrease in the d-band center and the adsorption energy of ^(*)O,which not only breaks the scaling relationship of OER but also lowers the energy barriers of rate-determining step.Moreover,it enhances the corrosion resistance to Cl^(−),and realizes the high-efficiency seawater electrolysis driven by photovoltaic.
基金financially supported by the National Natural Science Foundation of China(Nos.52403306 and 51902084)the Natural Science Foundation of Hebei Province(Nos.B2024202047 and B2020202089)+1 种基金the Hebei Province Higher Education Science and Technology Research Foundation(No.QN2019030)the Program for Changjiang Scholars and Innovative Research Team in University(No.PCSIRT:IRT17R33).
文摘The catalytic activity and selectivity of CO_(2)reduction reaction(CO_(2)RR)towards C1 and C2 products are fundamentally restricted by the inherent linear scaling relationship among the adsorption-free energies of intermediates.To face this challenge,we have proposed a novel multifunctional M1M2@BN electrocatalysts to break the linear scaling relationships in CO_(2)RR and efficiently obtain C1 and C2 products.Our results reveal that the optimal limiting potential is increased from−0.58 V for M@BN to−0.39 V for M1M2@BN,which achieves ultrahigh activity of CO_(2)RR.Further mechanism analysis illuminates that M1M2@BN can selectivity modulate the adsorption strength of OCHO*and OCH_(2)O*/OCHOH*,breaking the linear scaling relationship of adsorption-free energies of key intermediates to achieve the enhanced catalytic activity.Notably,the sufficient active sites on M_(1)M_(2)@BN electrocatalysts can promote the sluggish C–C coupling by capturing two CO intermediates simultaneously,further generating high-value multi-carbon(CH_(2)CH_(2)OH)products.Meanwhile,the thermodynamic stability of M1M2@BN has been demonstrated by ab initio molecular dynamics(AIMD)simulations,which shows the feasibility of commercial application in CO_(2)RR.Our findings provide a novel strategy to modulate the binding strength of intermediates and develop the design of efficient multi-active-site CO_(2)RR electrocatalysts.
基金supported by the National Natural Science Foundation of China(Grant No.12175316)。
文摘Kibble-Zurek scaling is the scaling of the density of topological defects formed via the Kibble-Zurek mechanism with respect to the rate at which a system is cooled across a continuous phase transition.Recently,the density of the topological defects formed via the Kibble-Zurek mechanism was estimated for a system cooled through a first-order phase transition rather than conventional continuous transitions.Here we address the problem of whether such defects generated across a first-order phase transition exhibit Kibble-Zurek scaling similar to the case in continuous phase transitions.We show that any possible Kibble-Zurek scaling for the topological defects can only be a very rough approximation due to an intrinsic field responsible for the scaling.However,complete universal scaling for other properties does exist.
基金co-supported by the National Natural Science Foundation of China (No. 12172175)the National Science and Technology Major Project, China (No. J2019-II0014-0035)the Science Center for Gas Turbine Project, China (Nos. P2022-C-II-002-001, P2022-A-II-002-001)
文摘Cowl-induced incident Shock Wave/Boundary Layer Interactions (SWBLI) under the influence of gradual expansion waves are frequently observed in supersonic inlets. However, the analysis and prediction of interaction lengths have not been sufficiently investigated. First, this study presents a theoretical scaling analysis and validates it through wind tunnel experiments. It conducts detailed control volume analysis of mass conservation, considering the differences between inviscid and viscous cases. Then, three models for analysing interaction length under gradual expansion waves are derived. Related experiments using schlieren photography are conducted to validate the models in a Mach 2.73 flow. The interaction scales are captured at various relative distances between the shock impingement location and the expansion regions with wedge angles ranging from 12° to 15° and expansion angles of 9°, 12°, and 15°. Three trend lines are plotted based on different expansion angles to depict the relationship between normalised interaction length and normalised interaction strength metric. In addition, the relationship between the coefficients of the trend line and the expansion angles is introduced to predict the interaction length influenced by gradual expansion waves. Finally, the estimation of normalised interaction length is derived for various coefficients within a unified form.
基金supported by the National Natural Science Foundation of China(No.10874174)。
文摘We propose the scaling rule of Morse oscillator,based on this rule and by virtue of the Her-mann-Feymann theorem,we respectively obtain the distribution of potential and kinetic ener-gy of the Morse Hamiltonian.Also,we derive the exact upper limit of physical energy level.Further,we derive some recursive relations for energy matrix elements of the potential and other similar operators in the context of Morse oscillator theory.
基金supported by the National Natural Science Foundation of China(Grant Nos.12104109,12222515,and 12075324)the Science and Technology Projects in Guangzhou(Grant No.2024A04J2092)the Science and Technology Projects in Guangdong Province(Grant No.211193863020).
文摘Driven critical dynamics in quantum phase transitions holds significant theoretical importance,and also has practical applications in fast-developing quantum devices.While scaling corrections have been shown to play important roles in fully characterizing equilibrium quantum criticality,their impact on nonequilibrium critical dynamics has not been extensively explored.In this work,we investigate the driven critical dynamics in a two-dimensional quantum Heisenberg model.We find that in this model the scaling corrections arising from both finite system size and finite driving rate must be incorporated into the finite-time scaling form in order to properly describe the nonequilibrium scaling behaviors.In addition,improved scaling relations are obtained from the expansion of the full scaling form.We numerically verify these scaling forms and improved scaling relations for different starting states using the nonequilibrium quantum Monte Carlo algorithm.
基金supported by the Natural Science Foundation of China(12325108,12131017,12221001)the Natural Science Foundation of Hubei Province(2019CFA007)。
文摘We investigate the smoothing effect of the spatially inhomogeneous Boltzmann equation without an angular cut-off,under the Navier-Stokes scaling.For Maxwellian molecules or hard potentials with singular angular kernels,we demonstrate that the solutions become analytic at positive times when the angular singularities are sufficiently strong and lie within the optimal Gevrey class when the singularities are mild.The analysis is based on carefully selected vector fields with time-dependent coefficients and quantitative estimates of directional derivatives,which reveal the behavior of the kinetic-fluid transition.
