Predicting Surface Clustering at Ambient Conditions from Thermodynamic Data-Reference-Cited by-同舟云学术

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Predicting Surface Clustering at Ambient Conditions from Thermodynamic Data

Published:2018-10-14 Issue:13 Volume:123 Page:8171-8176
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Eren Baran¹^ORCID,Salmeron Miquel²³^ORCID

Affiliation:

1. Department of Chemical and Biological Physics, Weizmann Institute of Science, 234 Herzl Street, 76100 Rehovot, Israel

2. Materials Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States

3. Department of Materials Science and Engineering, University of California, Berkeley 94720, United States

Funder

Basic Energy Sciences

Abramson Family Center for Young Scientists

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.8b08287

Reference41 articles.

1. Part II.—“Heterogeneous reactions”. Chemical reactions on surfaces

2. Reactions at Surfaces: From Atoms to Complexity (Nobel Lecture)

3. A variable pressure/temperature scanning tunneling microscope for surface science and catalysis studies

4. A new scanning tunneling microscope reactor used for high-pressure and high-temperature catalysis studies

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