力场(虚构)
极化率
分子动力学
简单(哲学)
统计物理学
领域(数学)
航程(航空)
计算机科学
计算化学
物理
化学
工程类
数学
分子
量子力学
航空航天工程
人工智能
哲学
认识论
纯数学
作者
Sonja Grubišić,Ivana Đorđević,Dragan M. Popović
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2024-01-01
卷期号:: 964-986
标识
DOI:10.1016/b978-0-12-821978-2.00117-3
摘要
Proper simulation of the structure and dynamics of large molecular systems rests on accurate and reliable force fields (FF) which can reproduce their behavior both in the gas phase and in condensed phases at a reasonable computational cost. The analytic potential energy functions are at the heart of force field based molecular simulations. The complexity of these functions spans the range from very simple functions used to model generic phenomena to complex functions designed to model chemical reactions. In this chapter, after a summary, we have selected several approaches, which we present and discuss in more detail.
科研通智能强力驱动
Strongly Powered by AbleSci AI