Atomic descriptors generated from coordination polyhedra in crystal structures-Reference-Cited by-同舟云学术

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Atomic descriptors generated from coordination polyhedra in crystal structures

Published:2021-01-01 Issue:1 Volume:1 Page:200-212
ISSN:2766-0400
Container-title:Science and Technology of Advanced Materials: Methods
language:en
Short-container-title:Science and Technology of Advanced Materials: Methods

Author:

Inada Yuki¹^ORCID,Katsura Yukari¹²³,Kumagai Masaya³⁴⁵,Kimura Kaoru¹

Affiliation:

1. Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

2. Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science, Ibaraki, Japan

3. Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan

4. SAKURA Internet Research Center, SAKURA Internet Inc, Osaka, Japan

5. Institute for Integrated Radiation and Nuclear Science, Kyoto University, Osaka, Japan

Funder

Japan Science and Technology Agency

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27660400.2021.1986359

Reference34 articles.

1. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

2. Combinatorial screening for new materials in unconstrained composition space with machine learning

3. Big Data of Materials Science: Critical Role of the Descriptor

4. Machine Learning Energies of 2 Million Elpasolite(ABC2D6)Crystals

5. Deep neural networks for accurate predictions of crystal stability

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