计算机科学
密度泛函理论
基准集
基础(线性代数)
稳健性(进化)
量子化学
集合(抽象数据类型)
计算化学
理论计算机科学
化学
分子
数学
量子力学
物理
几何学
程序设计语言
超分子化学
生物化学
基因
作者
Markus Bursch,Jan‐Michael Mewes,Andreas Hansen,Stefan Grimme
标识
DOI:10.26434/chemrxiv-2022-n304h
摘要
Nowadays, many chemical investigations can be supported theoretically by routine molecular structure calculations, conformer ensembles, reaction energies, barrier heights, and predicted spectroscopic properties. Such standard computational chemistry applications are most often conducted with density functional theory (DFT) and atom-centered atomic orbital basis sets implemented in many standard quantum chemistry software packages. This work aims to provide general guidance on the various technical and methodological aspects of DFT calculations for molecular systems, and how to achieve an optimal balance between accuracy, robustness, and computational efficiency through multi-level approaches. The main points discussed are the density functional, the atomic orbital basis sets, and the computational protocol to describe and predict experimental behavior properly. This is done in three main parts: Firstly, in the form of a step-by-step decision tree to guide the overall computational approach depending on the problem; secondly, using a recommendation matrix that addresses the most critical aspects regarding the functional and basis set depending on the computational task at hand (structure optimization, reaction energy calculations, etc.); and thirdly, by applying all steps to some representative examples to illustrate the recommended protocols and effect of methodological choices.
科研通智能强力驱动
Strongly Powered by AbleSci AI