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Filtering by: Author Hou, Zhufeng License https://creativecommons.org/licenses/by/4.0/ Type of work Publication Resource type Article

1. Structure prediction of boron-doped graphene by machine learning

Description/Abstract:: Heteroatom doping has endowed graphene with manifold aspects of material properties and boosted its applications. The atomic structure de...
Keyword:: Materials design and Monte Carlo tree search
Resource Type:: Article
Author:: Hou, Zhufeng, Tsuda, Koji, and Dieb, Thaer M.
Journal:: The Journal of Chemical Physics
Date Uploaded:: 02/10/2020
Date Modified:: 16/10/2020

2. MDTS: automatic complex materials design using Monte Carlo tree search

Description/Abstract:: Complex materials design is often represented as a black-box combinatorial optimization problem. In this paper, we present a novel python...
Keyword:: Monte Carlo tree search and materials design
Resource Type:: Article
Author:: Ju, Shenghong, Tsuda, Koji, Shiomi, Junichiro, Yoshizoe, Kazuki, Dieb, Thaer M., and Hou, Zhufeng
Journal:: Science and Technology of Advanced Materials
Date Uploaded:: 02/10/2020
Date Modified:: 16/10/2020