Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods-Reference-Cited by-同舟云学术

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Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods

Published:2020-03-06 Issue:1 Volume:1 Page:1-188
ISSN:2691-1930
Container-title:Synthesis Lectures on Materials and Optics
language:en
Short-container-title:Synthesis Lectures on Materials and Optics

Author:

Pilania Ghanshyam¹,Balachandran Prasanna V.²,Gubernatis James E.³,Lookman Turab³

Affiliation:

1. Los Alamos National Laboratory, Los Alamos, New Mexico

2. University of Virginia, Charlottesville, Virgina

3. Santa Fe, New Mexico

Publisher

Morgan & Claypool Publishers LLC

Reference352 articles.

1. Springer Series in Materials Science;Lookman T.,2016

2. Information Theory, Inference, and Learning Algorithms

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning in materials science: From explainable predictions to autonomous design;Computational Materials Science;2021-06

2. Machine learning for materials design and discovery;Journal of Applied Physics;2021-02-21

3. A Machine Learning Approach for the Prediction of Formability and Thermodynamic Stability of Single and Double Perovskite Oxides;Chemistry of Materials;2021-01-15

4. Research on the Construction of the General Control Platform for Yunnan Rare and Precious Metal Materials Genetic Engineering;Journal of Micromechanics and Molecular Physics;2020-06

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