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Tsuda, Koji
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Materials design
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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
Machine Learning-Based Experimental Design in Materials Science
Description/Abstract:
In materials design and discovery processes, optimal experimental design (OED) algorithms are getting more popular. OED is often modeled ...
Keyword:
Machine learning
,
Materials design
, and
Optimal experiment design
Resource Type:
Part of Book
Author:
Tsuda, Koji
and
Dieb, Thaer M.
Journal:
Nanoinformatics
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
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Materials design
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Optimal experiment design
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AIP Publishing
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Rights Statement Sim
Creative Commons BY Attribution 4.0 International
2
Date
2018
2
Author
Dieb, Thaer M.
2
Tsuda, Koji
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2
Hou, Zhufeng
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https://creativecommons.org/licenses/by/4.0/
2
Journal
Nanoinformatics
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The Journal of Chemical Physics
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