Mining of effective local order parameters for classifying crystal structures: A machine learning study-Reference-Cited by-同舟云学术

Mining of effective local order parameters for classifying crystal structures: A machine learning study

Published:2020-06-07 Issue:21 Volume:152 Page:214501
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Doi Hideo¹,Takahashi Kazuaki Z.¹^ORCID,Aoyagi Takeshi¹^ORCID

Affiliation:

1. Research Center for Computational Design of Advanced Functional Materials, National Institute of Advanced Industrial Science and Technology (AIST), Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan

Funder

New Energy and Industrial Technology Development Organization

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0005228

Reference39 articles.

1. THE EFFECTS OF SHAPE ON THE INTERACTION OF COLLOIDAL PARTICLES

2. Simple Molecular Model for the SmecticAPhase of Liquid Crystals

3. Bond-orientational order in liquids and glasses

4. Applications of local crystal structure measures in experiment and simulation

5. Dislocation nucleation and defect structure during surface indentation

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