期刊文献+

不同温度下苯酚密度预测的Monte Carlo模拟

Predictions for the Density of Phenol at Different Temperature by Monte Carlo Simulations
下载PDF
导出
摘要 采用构型偏倚Monte Carlo模拟方法,在等温等压系综中比较了CHARMM22、OPLS-aa和Compass分子力场势能模型对不同温度下苯酚密度预测的准确性。模拟过程中,体积变化、构型偏倚链增长、质心的平移和绕质心的旋转移动的概率分别为0.5%、32.5%、33%和34%。模拟结果表明,Compass力场模型能较好地预测苯酚的密度,低温下其预测的相对误差小于2%,但随着温度的升高3种力场模型预测值与实验值的相对误差增加。 The prediction accuracy of phenol density at different temperature by configurationally-bias Monte Carlo simulation was compared,and phenol was modeled by CHARMM22,OPLS-aa and Compass force fields,respectively.Simulations were conducted in isothermal-isobaric ensemble,in which Monte Carlo moved consist of volume changes,configurationally-bias regrowths,translation of the center-of-mass,and rotation about the center-of-mass.The probabilities of these moves were 0.5%,32.5%,33% and 34%,respectively.It was show...
出处 《武汉理工大学学报》 CAS CSCD 北大核心 2008年第3期40-42,共3页 Journal of Wuhan University of Technology
基金 国家自然科学基金(50576028 20476083) 湖北省自然科学基金(2007ABA199)
关键词 苯酚 密度 蒙特卡洛 分子模拟 phenol density monte carlo molecular simulation
  • 相关文献

参考文献10

  • 1[1]Mayo S L,Olafson B D,Goddard W A.DREIDING:A Generic Force Field for Molecular Simulations[J].J Phys Chem,1990,94(13):8897-8909.
  • 2[2]Allured V S,Kelly C M,Landis C R.SHAPES Empirical Force Field:New Treatment of Angular Potentials and Its Application to Square-planar Transition-metal Complexes[J].J Am Chem Soc,1991,113(1):1-12.
  • 3[3]Cornell W D,Cieplak P,Bayly C I,et al.A Second Generation Force Field for the Simulation of Proteins,Nucleic Acids,and Organic Molecules[J].J Am Chem Soc,1995,117(19):5179-5197.
  • 4[4]Mackerell A D,Wiorkiewiczkuczera J,Karplus M.An All-atom Empirical Energy Function for the Simulation of Nucleic Acids[J].J Am Chem Soc,1995,117(48):11946-11975.
  • 5[5]Jorgensen W L,Maxwell D S,Tiradorives J.Development and Testing of the OPLS All-atom Force Field on Conformational Energetics and Properties of Organic Liquids[J].J Am Chem Soc,1996,118(45):11225-11236.
  • 6[6]Sun H.COMPASS:An ab Initio Force-field Optimized for Condensed-phase Applications-overview with Details on Alkane and Benzene Compounds[J].J Phys Chem B,1998,102(38):7338-7364.
  • 7[7]Rigby D,Sun H,Eichinger B E.Computer Simulations of Poly(ethylene oxide):Force Field,PVT Diagram and Cyclization Behaviour[J].Polymer International,1997,44(3):311-330.
  • 8[8]Frenkel D,Smit B.Understanding Molecular Simulation from Algorithms to Applications[M].San Diego:Acadamic Press,1996.
  • 9[9]Vlugt T J H,Martin M G,Smit B,et al.Improving the Efficiency of the Configurational-bias Monte Carlo Algorithm[J].Mol Phys,1998,94(4):727-733.
  • 10[10]Mooney D A,Muller-Plathe F,Kremer K.Simulation Studies for Liquid Phenol:Properties Evaluated and Tested over a Range of Temperatures[J].Chemical Physics Letters,1998,294(1):135-142.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部