Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys

Hoyt, R. A.; Montemore, M. M.; Fampiou, I.; Chen, W.; Tritsaris, G.; Kaxiras, E.

doi:10.7910/DVN/QVMFPZ

Title: Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys

Abstract

The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.

Authors:

Hoyt, R. A.; Montemore, M. M.; Fampiou, I.; Chen, W.; Tritsaris, G.; Kaxiras, E.

Harvard Univ., Cambridge, MA (United States)

Publication Date:: Thu May 09 00:00:00 EDT 2019

DOE Contract Number:: SC0012573

Research Org.:: Harvard Univ., Cambridge, MA (United States). Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC) (EFRC)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Subject:: 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 36 MATERIALS SCIENCE

OSTI Identifier:: 1872730

DOI:: https://doi.org/10.7910/DVN/QVMFPZ

Citation Formats


                    Hoyt, R. A., Montemore, M. M., Fampiou, I., Chen, W., Tritsaris, G., and Kaxiras, E. Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys.  United States: N. p., 2019. 
        Web.  doi:10.7910/DVN/QVMFPZ.

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                    Hoyt, R. A., Montemore, M. M., Fampiou, I., Chen, W., Tritsaris, G., & Kaxiras, E. Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys.  United States.  doi:https://doi.org/10.7910/DVN/QVMFPZ

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                    Hoyt, R. A., Montemore, M. M., Fampiou, I., Chen, W., Tritsaris, G., and Kaxiras, E. 2019.  
"Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys".  United States.  doi:https://doi.org/10.7910/DVN/QVMFPZ.  https://www.osti.gov/servlets/purl/1872730. Pub date:Thu May 09 00:00:00 EDT 2019

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@article{osti_1872730,

  title        = {Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys},

  author       = {Hoyt, R. A. and Montemore, M. M. and Fampiou, I. and Chen, W. and Tritsaris, G. and Kaxiras, E.},

  abstractNote = {The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.},

  doi          = {10.7910/DVN/QVMFPZ},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu May 09 00:00:00 EDT 2019},

  month        = {Thu May 09 00:00:00 EDT 2019}

}

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DOI: https://doi.org/10.7910/DVN/QVMFPZ

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Works referencing / citing this record:

Machine Learning Prediction of H Adsorption Energies on Ag Alloys
journal, January 2019

Hoyt, Robert A.; Montemore, Matthew M.; Fampiou, Ioanna
Journal of Chemical Information and Modeling, Vol. 59, Issue 4
https://doi.org/10.1021/acs.jcim.8b00657

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Title: Replication Data for: Machine Learning Prediction of H Adsorption Energies on Ag Alloys

Abstract

Citation Formats

Machine Learning Prediction of H Adsorption Energies on Ag Alloys journal, January 2019

Machine Learning Prediction of H Adsorption Energies on Ag Alloys
journal, January 2019