Toward ab Initio Ground States of Gold Clusters via Neural Network Modeling-Reference-Cited by-同舟云学术

Toward ab Initio Ground States of Gold Clusters via Neural Network Modeling

Published:2019-11-25 Issue:50 Volume:123 Page:30088-30098
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Thorn Aidan¹^ORCID,Rojas-Nunez Javier²^ORCID,Hajinazar Samad¹,Baltazar Samuel E.²^ORCID,Kolmogorov Aleksey N.¹

Affiliation:

1. Department of Physics, Applied Physics and Astronomy, Binghamton University, State University of New York, PO Box 6000, Binghamton, New York 13902-6000, United States

2. Department of Physics and CEDENNA, Universidad de Santiago de Chile, Av. Ecuador 3493, Santiago 9170124, Chile

Funder

Departamento de Investigaciones Científicas y Tecnológicas, Universidad de Santiago de Chile

Comisión Nacional de Investigación Científica y Tecnológica

Division of Materials Research

Vicerrectoría Investigación, Desarrollo e Innovación, Universidad de Santiago de Chile

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.9b08517

Reference97 articles.

1. Novel Gold Catalysts for the Oxidation of Carbon Monoxide at a Temperature far Below 0 °C

2. Why gold is the noblest of all the metals

3. When Gold Is Not Noble: Nanoscale Gold Catalysts

4. Gold Nanoparticles: Assembly, Supramolecular Chemistry, Quantum-Size-Related Properties, and Applications toward Biology, Catalysis, and Nanotechnology

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