Current Status of ABINIT-MP as a FMO Program and Related Works with Machine Learning-Reference-Cited by-同舟云学术

Current Status of ABINIT-MP as a FMO Program and Related Works with Machine Learning

Published:2017 Issue:5 Volume:16 Page:119-122
ISSN:1347-1767
Container-title:Journal of Computer Chemistry, Japan
language:en
Short-container-title:J. Comput. Chem. Jpn.

Author:

MOCHIZUKI Yuji,SAKAKURA Kota,AKINAGA Yoshinobu,KATO Kouichiro,WATANABE Hiromasa,OKIYAMA Yoshio,NAKANO Tatsuya,KOMEIJI Yuto,OKUSAWA Akira,FUKUZAWA Kaori,TANAKA Shigenori

Publisher

Society of Computer Chemistry Japan

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jccj/16/5/16_2017-0051/_pdf

Reference14 articles.

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2. [2] D. G. Fedorov, K, Kitaura ed., "The Fragment Molecular Orbital Method: Practical Applications to Large Molecular Systems", 2009, CRC.

3. [3] D. G. Fedorov, et al., Phys. Chem. Chem. Phys., 14, 7562 (2012). doi:10.1039/C2CP23784A

4. [4] S. Tanaka, et al., Phys. Chem. Chem. Phys., 16, 10310 (2014). doi:10.1039/C4CP00316K

5. [5] <http://www.ciss.iis.u-tokyo.ac.jp/software/>.

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