Exploration of elastic moduli of molecular crystals via database screening by pretrained neural network potential
Author:
Affiliation:
1. Center for Data Science, Waseda University, 1-6-1 Nishiwaseda, Shinjuku-ku, Tokyo 169-8050, Japan
Abstract
Funder
Waseda University
Japan Society for the Promotion of Science
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2024/CE/D3CE01263H
Reference38 articles.
1. Mechanical Properties in Metal–Organic Frameworks: Emerging Opportunities and Challenges for Device Functionality and Technological Applications
2. The role of additive manufacturing for biomedical applications: A critical review
3. The landscape of mechanical properties of molecular crystals
4. Global Analysis of the Mechanical Properties of Organic Crystals
5. Photomechanical Azobenzene Crystals
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1. Estimation of Mechanical Properties of Aluminum Alloy Based on Indentation Curve and Projection Area of Contact Zone;Metals;2024-05-13
2. Are Elastic Properties of Molecular Crystals within Reach of Density Functional Theory? Accuracy, Robustness, and Reproducibility of Current Approaches;Crystal Growth & Design;2024-04-15
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