Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals-Reference-Cited by-同舟云学术

Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals

Published:2024-04-09 Issue: Volume: Page:
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Varughese Bilvin¹²^ORCID,Manna Sukriti¹²^ORCID,Loeffler Troy D.¹²^ORCID,Batra Rohit²³,Cherukara Mathew J.²^ORCID,Sankaranarayanan Subramanian K. R. S.¹⁴^ORCID

Affiliation:

1. Department of Mechanical and Industrial Engineering, University of Illinois, Chicago, Illinois 60607, United States

2. Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States

3. Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras, Chennai 600036, India

4. Advanced Photon Source, Argonne National Laboratory, Lemont, Illinois 60439, United States

Funder

U.S. Department of Defense

U.S. Department of Energy

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c15399

Reference82 articles.

1. Catalysis by clusters with precise numbers of atoms

2. Gold Nanoclusters as Electrocatalysts for Energy Conversion

3. Gold Catalysis in (Supra)Molecular Cages to Control Reactivity and Selectivity

4. Nonscalable Oxidation Catalysis of Gold Clusters

5. Atomically Precise Gold Nanoclusters as New Model Catalysts

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