期刊
JOURNAL OF COMPUTATIONAL CHEMISTRY
卷 30, 期 9, 页码 1424-1444出版社
WILEY
DOI: 10.1002/jcc.21164
关键词
DFT; B3LYP; heats of formation; neural network
资金
- NSFC [20525311, 20533030, 20423002, 10774126]
- Ministry of Science and Technology [2007CB815206, 2004CB719902]
Recently, we proposed the XI method which combines the B3LYP/6-311+G(3df,2p)//B3LYP/6-311+G(d,p) method with a neural network correction for an accurate yet efficient prediction of heats of formation (Wu and Xu, J Chem Phys 2007, 127, 214105). In this contribution, we discuss in detail how to set up the X I neural network. We give examples, showing how to apply the XI method and how the applicability of XI can be extended. The overall mean absolute deviation of the XI method from experiment for the 488 heats of fort-nation is 1.52 kcal/mol compared with 9.44 kcal/mol for the original B3LYP results. (C) 2008 Wiley Periodicals, Inc. J Comput Chem 30: 1424-1444, 2009
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