Revisiting Aspirin Polymorphic Stability Using a Machine Learning Potential-Reference-Cited by-同舟云学术

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Revisiting Aspirin Polymorphic Stability Using a Machine Learning Potential

Published:2024-08-19 Issue: Volume: Page:
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Hattori Shinnosuke¹^ORCID,Zhu Qiang²

Affiliation:

1. Advanced Research Laboratory, Research Platform, Sony Group Corporation, 4−14−1 Asahi-cho, Atsugi-shi 243−0014, Japan

2. Department of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c04782

Reference66 articles.

1. Static and lattice vibrational energy differences between polymorphs

2. Facts and fictions about polymorphism

3. Microstructure of Tablet—Pharmaceutical Significance, Assessment, and Engineering

4. A Practical Guide to the Design of Molecular Crystals

5. Organic crystal structure prediction and its application to materials design

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