水准点(测量)
标杆管理
参数化(大气建模)
集合(抽象数据类型)
领域(数学)
实验数据
计算机科学
数据集
非共价相互作用
化学
统计物理学
算法
理论计算机科学
人工智能
物理
数学
分子
量子力学
统计
氢键
业务
辐射传输
营销
有机化学
程序设计语言
纯数学
大地测量学
地理
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2016-03-04
卷期号:116 (9): 5038-5071
被引量:445
标识
DOI:10.1021/acs.chemrev.5b00526
摘要
Data sets of benchmark interaction energies in noncovalent complexes are an important tool for quantifying the accuracy of computational methods used in this field, as well as for the development of new computational approaches. This review is intended as a guide to conscious use of these data sets. We discuss their construction and accuracy, list the data sets available in the literature, and demonstrate their application to validation and parametrization of quantum-mechanical computational methods. In practical model systems, the benchmark interaction energies are usually obtained using composite CCSD(T)/CBS schemes. To use these results as a benchmark, their accuracy should be estimated first. We analyze the errors of this methodology with respect to both the approximations involved and the basis set size. We list the most prominent data sets covering various aspects of the field, from general ones to sets focusing on specific types of interactions or systems. The benchmark data are then used to validate more efficient computational approaches, including those based on explicitly correlated methods. Special attention is paid to the transition to large systems, where accurate benchmarking is difficult or impossible, and to the importance of nonequilibrium geometries in parametrization of more approximate methods.
科研通智能强力驱动
Strongly Powered by AbleSci AI