Inverse design of porous materials using artificial neural networks
Author:
Affiliation:
1. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Abstract
Funder
Ministry of Education
National Research Foundation of Korea
Publisher
American Association for the Advancement of Science (AAAS)
Subject
Multidisciplinary
Reference40 articles.
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5. Predicting the Band Gaps of Inorganic Solids by Machine Learning
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