Many researchers,however,found that(1)the flow of both liquid and gas through nanoscale pores is one to even seven orders of magnitude faster than that would be predicted from the classic Newton’s mechanic theories,s...Many researchers,however,found that(1)the flow of both liquid and gas through nanoscale pores is one to even seven orders of magnitude faster than that would be predicted from the classic Newton’s mechanic theories,such as the Hagen-Poiseuille equation,the Bernoulli’s principle,the Knudsen theory;(2)the seeming contradiction that K+channels conduct K+ions at maximal throughput rates while not permeating slightly smaller Na+ions,which have perplexed scientists for decades.Herein we propose a possible explanation for the above phenomena based on the Wave-Particle Dualism.The quantum effect on ultrafast flow could possibly provide a new perspective for studying the nature of the ion and molecule channels,which are the backbones for the biology,and possibly promote the development of new methods for energy conversion,desalination of sea water and even information systems.展开更多
The existence of confining walls limits the prediction accuracy of nanoconfined fluids using macroscopic equations of state(EOSs);moreover,appropriate EOSs for multicomponent mixture fluids in nanoconfined spaces are ...The existence of confining walls limits the prediction accuracy of nanoconfined fluids using macroscopic equations of state(EOSs);moreover,appropriate EOSs for multicomponent mixture fluids in nanoconfined spaces are missing.Here,we derive the EOS of multicomponent mixture fluids confined in nanospaces at high temperatures and pressures,mainly considering the nanoconfinement effect and the competitive adsorption effect between different components.Then,the EOSs are validated through comparison with the molecular dynamics-simulated Pv T data of CO_(2)/H_(2)O mixtures in graphite nanoslits.To consider the above effects,we derive two EOSs via two modeling methods:EOS I is obtained through modification of the actual component occupation volume in the Peng-Robinson equation of state(PR EOS)by fitting the binary component interaction coefficient and the number of adsorbed molecules according to a selectivity coefficient,while EOS II is obtained by considering the decreased pressure of the fluids in PR EOS by adding an attractive term between components and walls.With the simulation results as a benchmark,the two EOSs exhibited good prediction accuracies under low CO_(2) concentrations,and generally,EOS II was more accurate than EOS I.This study fills the gap in the EOSs of nanoconfined mixture fluids,and the obtained equations can help to further describe the thermodynamic properties of confined mixture fluids.展开更多
基金supported by the National Natural Science Foundation of China(Nos.22090050,22090053,21974126,21874121,51803194)the Zhejiang Provincial Natural Science Foundation,China(No.LY19B030001)+1 种基金the Open-end Funds from the Engineering Research Center of Nano-Geomaterials of Ministry of Education,China(No.NGM2019KF013)the Fundamental Research Funds for National Universities,China University of Geosciences(Wuhan).
文摘Many researchers,however,found that(1)the flow of both liquid and gas through nanoscale pores is one to even seven orders of magnitude faster than that would be predicted from the classic Newton’s mechanic theories,such as the Hagen-Poiseuille equation,the Bernoulli’s principle,the Knudsen theory;(2)the seeming contradiction that K+channels conduct K+ions at maximal throughput rates while not permeating slightly smaller Na+ions,which have perplexed scientists for decades.Herein we propose a possible explanation for the above phenomena based on the Wave-Particle Dualism.The quantum effect on ultrafast flow could possibly provide a new perspective for studying the nature of the ion and molecule channels,which are the backbones for the biology,and possibly promote the development of new methods for energy conversion,desalination of sea water and even information systems.
基金supported by the National Natural Science Foundation of China for the Basic Science Center Program for Ordered Energy Conversion(Grant Nos.51888103,and 52222606)。
文摘The existence of confining walls limits the prediction accuracy of nanoconfined fluids using macroscopic equations of state(EOSs);moreover,appropriate EOSs for multicomponent mixture fluids in nanoconfined spaces are missing.Here,we derive the EOS of multicomponent mixture fluids confined in nanospaces at high temperatures and pressures,mainly considering the nanoconfinement effect and the competitive adsorption effect between different components.Then,the EOSs are validated through comparison with the molecular dynamics-simulated Pv T data of CO_(2)/H_(2)O mixtures in graphite nanoslits.To consider the above effects,we derive two EOSs via two modeling methods:EOS I is obtained through modification of the actual component occupation volume in the Peng-Robinson equation of state(PR EOS)by fitting the binary component interaction coefficient and the number of adsorbed molecules according to a selectivity coefficient,while EOS II is obtained by considering the decreased pressure of the fluids in PR EOS by adding an attractive term between components and walls.With the simulation results as a benchmark,the two EOSs exhibited good prediction accuracies under low CO_(2) concentrations,and generally,EOS II was more accurate than EOS I.This study fills the gap in the EOSs of nanoconfined mixture fluids,and the obtained equations can help to further describe the thermodynamic properties of confined mixture fluids.
