Mlatticeabc: Generic Lattice Constant Prediction of Crystal Materials Using Machine Learning
Author:
Affiliation:
1. School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
2. Department of Computer Science and Engineering, University of South Carolina Columbia, South Carolina 29201, United States
Funder
Office of Experimental Program to Stimulate Competitive Research
Division of Advanced Cyberinfrastructure
Division of Materials Research
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c00781
Reference32 articles.
1. Electronic Structure of Calcium as a Function of the Lattice Constant
2. Thermal Expansion of Supported and Freestanding Graphene: Lattice Constant versus Interatomic Distance
3. Lattice constant changes leading to significant changes of the spin-gapless features and physical nature in a inverse Heusler compound Zr2MnGa
4. Prediction of lattice constant in cubic perovskites
5. CRYSPNet: Crystal structure predictions via neural networks
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