Geometrical eigen-subspace framework based molecular conformation representation for efficient structure recognition and comparison-Reference-Cited by-同舟云学术

Geometrical eigen-subspace framework based molecular conformation representation for efficient structure recognition and comparison

Published:2017-04-21 Issue:15 Volume:146 Page:154108
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:The Journal of Chemical Physics

Author:

Li Xiao-Tian¹,Yang Xiao-Bao¹²,Zhao Yu-Jun¹²

Affiliation:

1. Department of Physics and School of Materials Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510640, China

2. Key Laboratory of Advanced Energy Storage Materials of Guangdong Province, South China University of Technology, Guangzhou, Guangdong 510640, China

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4981212

Reference39 articles.

1. Global minimum structure searches via particle swarm optimization

2. How Evolutionary Crystal Structure Prediction Works—and Why

3. New developments in evolutionary structure prediction algorithm USPEX

4. Quantum-defect analysis of3pand3dH3Rydberg energy levels

5. CALYPSO: A method for crystal structure prediction

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