The transition of strong-interaction matter from the hadronic phase to the quark-gluon plasma phase is a rapid crossover but not a true phase transition in nature.The true phase transition of strong-interaction matter...The transition of strong-interaction matter from the hadronic phase to the quark-gluon plasma phase is a rapid crossover but not a true phase transition in nature.The true phase transition of strong-interaction matter is expected to exist only in certain limits,e.g.chiral limit of massless quarks and etc.In this contribution to CNPC2023 Special Issue we present our recent studies on the true phase transition of strong-interaction matter in the chiral limit of massless quarks as well as its microscopic origin.The study is based on(2+1)-flavor lattice QCD simulations using highly improved staggered fermions,with pion masses ranging from 160 MeV down to 55 MeV.Utilizing a newly proposed method to compute the quark mass derivatives of the Dirac eigenvalue spectrum on the lattice,it is found that the axial U(1)anomaly is still manifested at 1.6T_(c),with a microscopic origin consistent with the dilute instanton gas approximation.Furthermore,based on lattice QCD results and a generalized Banks-Casher relation,it is found that the macroscopic singularity of the chiral phase transition is encoded in the correlation of the Dirac eigenvalue spectrum.Future research directions along these findings are also discussed,including the investigation of the temperature range between T_(c) and 1.6 T_(c) to understand the breakdown of the dilute instanton gas approximation and its connection to the chiral phase transition.展开更多
Artificial Neural Network(ANN)has become a powerful tool in the field of scientific research with its powerful information encapsulation ability and convenient variational optimization method.In particular,there have ...Artificial Neural Network(ANN)has become a powerful tool in the field of scientific research with its powerful information encapsulation ability and convenient variational optimization method.In particular,there have been many recent advances in computational physics to solve variational problems.Deep Neural Network(DNN)is used to represent the wave function to solve quantum many-body problems using variational optimization.In this work we used a new Physics-Informed Neural Network(PINN)to represent the Cumulative Distribution Function(CDF)of some classical problems in quantum mechanics and to obtain their ground state wave function and ground state energy through the CDF.By benchmarking against the exact solution,the error of the results can be controlled at a very low level.This new network architecture and optimization method can provide a new choice for solving quantum many-body problems.展开更多
Using interface engineering,a highly efficient catalyst with a shell@core structure was successfully synthesized by growing an amorphous material composed of Ni,Mo,and P on Cu nanowires(Ni-MoP@CuNWs).This catalyst onl...Using interface engineering,a highly efficient catalyst with a shell@core structure was successfully synthesized by growing an amorphous material composed of Ni,Mo,and P on Cu nanowires(Ni-MoP@CuNWs).This catalyst only requires an overpotential of 35 mV to reach a current density of 10 mA cm^(-2).The exceptional hydrogen evolution reaction(HER)activity is attributed to the unique amorphous rod-like nature of NiMoP@CuNWs,which possesses a special hydrophilic feature,en-hances mass transfer,promotes effective contact between the electrode and electrolyte solution,and exposes more active sites during the catalytic process.Density functional theory revealed that the introduction of Mo weakens the binding strength of the Ni site on the catalyst surface with the H atom and promotes the desorption process of the H_(2)product significantly.Owing to its facile syn-thesis,low cost,and high catalytic performance,this electrocatalyst is a promising option for com-mercial applications as a water electrolysis catalyst.展开更多
People’s health is the basis for the progress of social civilization and an important symbol of national prosperity and national strength.Using the entropy method,spatial autocorrelation,spatio-temporal geographic we...People’s health is the basis for the progress of social civilization and an important symbol of national prosperity and national strength.Using the entropy method,spatial autocorrelation,spatio-temporal geographic weighted regression and other methods,we conducted a comprehensive evaluation of the high-quality development level of public health in Guizhou Province from 2011 to 2020 and an evolutionary analysis of the spatio-temporal divergence.The results revealed four key aspects of the state of public health in Guizhou Province.(1)The overall level of public health is constantly improving,but structural imbalance is prominent.(2)From the spatial dimension,the spatial differences in the level of public health have gradually moved from significant to a state of equilibrium.The northeastern cities were more strongly driven by the radiation of the peripheral cities,while this effect was weaker in the southwestern cities.From the time dimension,the spatial pattern shows a clear gradient,with a faster vertical growth rate.(3)The overall spatial correlation of the level of public health is weak,with more cold spots than hot spots,showing a distribution pattern of“strong in the northeast and weak in the southwest”.(4)The new rural cooperative medical care participation rate,(rural)per capita health expenditure,and the electronic health record creation rate have become the most important drivers affecting the high-quality development of public health in Guizhou Province.展开更多
文摘The transition of strong-interaction matter from the hadronic phase to the quark-gluon plasma phase is a rapid crossover but not a true phase transition in nature.The true phase transition of strong-interaction matter is expected to exist only in certain limits,e.g.chiral limit of massless quarks and etc.In this contribution to CNPC2023 Special Issue we present our recent studies on the true phase transition of strong-interaction matter in the chiral limit of massless quarks as well as its microscopic origin.The study is based on(2+1)-flavor lattice QCD simulations using highly improved staggered fermions,with pion masses ranging from 160 MeV down to 55 MeV.Utilizing a newly proposed method to compute the quark mass derivatives of the Dirac eigenvalue spectrum on the lattice,it is found that the axial U(1)anomaly is still manifested at 1.6T_(c),with a microscopic origin consistent with the dilute instanton gas approximation.Furthermore,based on lattice QCD results and a generalized Banks-Casher relation,it is found that the macroscopic singularity of the chiral phase transition is encoded in the correlation of the Dirac eigenvalue spectrum.Future research directions along these findings are also discussed,including the investigation of the temperature range between T_(c) and 1.6 T_(c) to understand the breakdown of the dilute instanton gas approximation and its connection to the chiral phase transition.
文摘Artificial Neural Network(ANN)has become a powerful tool in the field of scientific research with its powerful information encapsulation ability and convenient variational optimization method.In particular,there have been many recent advances in computational physics to solve variational problems.Deep Neural Network(DNN)is used to represent the wave function to solve quantum many-body problems using variational optimization.In this work we used a new Physics-Informed Neural Network(PINN)to represent the Cumulative Distribution Function(CDF)of some classical problems in quantum mechanics and to obtain their ground state wave function and ground state energy through the CDF.By benchmarking against the exact solution,the error of the results can be controlled at a very low level.This new network architecture and optimization method can provide a new choice for solving quantum many-body problems.
文摘Using interface engineering,a highly efficient catalyst with a shell@core structure was successfully synthesized by growing an amorphous material composed of Ni,Mo,and P on Cu nanowires(Ni-MoP@CuNWs).This catalyst only requires an overpotential of 35 mV to reach a current density of 10 mA cm^(-2).The exceptional hydrogen evolution reaction(HER)activity is attributed to the unique amorphous rod-like nature of NiMoP@CuNWs,which possesses a special hydrophilic feature,en-hances mass transfer,promotes effective contact between the electrode and electrolyte solution,and exposes more active sites during the catalytic process.Density functional theory revealed that the introduction of Mo weakens the binding strength of the Ni site on the catalyst surface with the H atom and promotes the desorption process of the H_(2)product significantly.Owing to its facile syn-thesis,low cost,and high catalytic performance,this electrocatalyst is a promising option for com-mercial applications as a water electrolysis catalyst.
基金The Guizhou Science and Technology Foundation(ZK[2021]General 186)The National Natural Science Foundation of China(42271228,42101209)+1 种基金The Guizhou Provincial Department of Education Natural Science Research Fund(Guizhou Jiaohe KY Zi[2022]No.156)TheGuizhou Normal University Doctoral Research Project(GZNUD[2019]No.5).
文摘People’s health is the basis for the progress of social civilization and an important symbol of national prosperity and national strength.Using the entropy method,spatial autocorrelation,spatio-temporal geographic weighted regression and other methods,we conducted a comprehensive evaluation of the high-quality development level of public health in Guizhou Province from 2011 to 2020 and an evolutionary analysis of the spatio-temporal divergence.The results revealed four key aspects of the state of public health in Guizhou Province.(1)The overall level of public health is constantly improving,but structural imbalance is prominent.(2)From the spatial dimension,the spatial differences in the level of public health have gradually moved from significant to a state of equilibrium.The northeastern cities were more strongly driven by the radiation of the peripheral cities,while this effect was weaker in the southwestern cities.From the time dimension,the spatial pattern shows a clear gradient,with a faster vertical growth rate.(3)The overall spatial correlation of the level of public health is weak,with more cold spots than hot spots,showing a distribution pattern of“strong in the northeast and weak in the southwest”.(4)The new rural cooperative medical care participation rate,(rural)per capita health expenditure,and the electronic health record creation rate have become the most important drivers affecting the high-quality development of public health in Guizhou Province.
