The Journal of Chemical Physics是一种国际期刊,刊登现代化学物理学和物理化学所有领域的前沿研究。除研究论文外,JCP还发表关于重大新发现的通讯、关于该领域最新进展的观点或综述、作为学界教育工具的教程和专题集。 三 关于AIP出版社 美国物理联合会...
J.-J. Sun, J. Cheng*, Solid-to-Liquid Phase Transitions of Sub-Nanometer Clusters Enhance Chemical Transformation, Nature Commun. 2019, 10, 5400. 关于TheJournal of Chemical Physics The Journal of Chemical Physics(JCP)创刊...
发文量4,831 被引量34,132 The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, an...
J.-J. Sun, J. Cheng*, Solid-to-Liquid Phase Transitions of Sub-Nanometer Clusters Enhance Chemical Transformation, Nature Commun. 2019, 10, 5400. 9. 关于TheJournal of Chemical Physics The Journal of Chemical Physics(JCP)创刊于1933年,由美国物理联合会出版。JCP为化学物理和理论化学领域的重要学术...
https://aip.scitation.org/journal/jcp (二维码自动识别) The Journal of Chemical Physics(JCP)创刊于1933年,由美国物理联合会出版。JCP为化学物理和理论化学领域的重要学术期刊,报道化学物理领域方法和应用研究的最新进展,内容涵盖理论方法和算法、计算软件、先进实验技术发展,以及高分子、材料、表面/界面、生物体系等...
1.Confinement,entropy,and single-particle dynamics of equilibrium hard-sphere mixtures 机译:平衡硬球混合物的约束,熵和单粒子动力学 作者:Jeetain Mittal;Vincent K.Shen;Jeffrey R.Errington 期刊名称:《The Journal of Chemical Physics》 | 2007年第15期 2.Intra-and intermolecular vibrational energy transf...
图书The Journal of Chemical Physics 介绍、书评、论坛及推荐
The Journal of Physical Chemistry A《物理化学杂志A》 (官网投稿) 简介 期刊简称J PHYS CHEM A 参考译名《物理化学杂志A》 核心类别 SCIE(2024版), 知网外文库,外文期刊, IF影响因子 自引率 主要研究方向化学-CHEMISTRY, PHYSICAL物理化学;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL物理:原子、分子和化学物理 ...
The Journal of Chemical Physics publishes concise and definitive reports of significant research in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Jo...
We propose a new molecular simulation framework that combines the transferability, robustness, and chemical flexibility of an ab initio method with the accuracy and efficiency of a machine learning model. The key to achieve this mix is to use a standard density functional theory (DFT) simulation ...