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Filtering by: Author Hou, Zhufeng Author Tsuda, Koji License https://creativecommons.org/licenses/by/4.0/ Type of work Publication Publisher AIP Publishing

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

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

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

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