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Dieb, Thaer M.
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Tsuda, Koji
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Monte Carlo tree search for materials design and discovery
Description/Abstract:
Materials design and discovery can be represented as selecting the optimal structure from a space of candidates that optimizes a target p...
Keyword:
Materials design and discovery
Resource Type:
Article
Author:
Ju, Shenghong
,
Tsuda, Koji
,
Dieb, Thaer M.
, and
Shiomi, Junichiro
Journal:
MRS Communications
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
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
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
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Creative Commons BY Attribution 4.0 International
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Author
Dieb, Thaer M.
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Tsuda, Koji
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MRS Communications
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Science and Technology of Advanced Materials
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The Journal of Chemical Physics
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