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Filtering by: Author Dieb, Thaer M. Type of work Publication Keyword Materials design

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. 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