Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials-Reference-Cited by-同舟云学术

Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials

Published:2024-07-18 Issue:30 Volume:15 Page:7539-7547
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Goodwin Zachary A. H.¹^ORCID,Wenny Malia B.²^ORCID,Yang Julia H.¹³^ORCID,Cepellotti Andrea¹,Ding Jingxuan¹,Bystrom Kyle¹^ORCID,Duschatko Blake R.¹,Johansson Anders¹,Sun Lixin¹^ORCID,Batzner Simon¹,Musaelian Albert¹,Mason Jarad A.²^ORCID,Kozinsky Boris¹⁴^ORCID,Molinari Nicola¹⁴^ORCID

Affiliation:

1. John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States

2. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States

3. Harvard University Center for the Environment, 26 Oxford St., Cambridge, Massachusetts 02138, United States

4. Research and Technology Center, Robert Bosch LLC, Cambridge, Massachusetts 02142, United States

Funder

Center for the Environment, Harvard University

Arnold and Mabel Beckman Foundation

Office of Naval Research Global

National Aeronautics and Space Administration

Argonne National Laboratory

Robert Bosch Research North America

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.4c01942

Reference77 articles.

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3. Room-Temperature Ionic Liquids: Solvents for Synthesis and Catalysis. 2

4. Ionic Liquids at Electrified Interfaces

5. Application of Ionic Liquids to Energy Storage and Conversion Materials and Devices