Low-Cost Vibrational Free Energies in Solid Solutions with Machine Learning Force Fields-Reference-Cited by-同舟云学术

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Low-Cost Vibrational Free Energies in Solid Solutions with Machine Learning Force Fields

Published:2023-12-15 Issue:51 Volume:14 Page:11618-11624
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Tolborg Kasper¹²³^ORCID,Walsh Aron²⁴^ORCID

Affiliation:

1. Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220 Aalborg Ø, Denmark

2. Department of Materials, Imperial College London, Exhibition Road, London SW7 2AZ, United Kingdom

3. I-X, Imperial College London, Wood Lane, London W12 0BZ, United Kingdom

4. Department of Physics, Ewha Womans University, Seoul 03760, Korea

Funder

Schmidt Futures

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.3c03083

Reference54 articles.

1. High-entropy alloys

2. Simulating short-range order in compositionally complex materials

3. Cation-disordered rocksalt-type high-entropy cathodes for Li-ion batteries

4. Multicomponent multisublattice alloys, nonconfigurational entropy and other additions to the Alloy Theoretic Automated Toolkit

5. Generalized cluster description of multicomponent systems

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