Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning

Timoshenko, J.; Wrasman, C. J.; Luneau, M.; Shirman, T.; Cargnello, M.; Bare, S. R.; Aizenberg, J.; Friend, C. M.; Frenkel, A. I.

doi:10.7910/DVN/YBAVZF

Title: Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning

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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:

Timoshenko, J.; Wrasman, C. J.; Luneau, M.; Shirman, T.; Cargnello, M.; Bare, S. R.; Aizenberg, J.; Friend, C. M.; Frenkel, A. I.

Stony Brook Univ., NY (United States); OSTI
Stanford Univ., CA (United States)
Harvard Univ., Cambridge, MA (United States)
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Stony Brook Univ., NY (United States)

Publication Date:: Thu May 09 04:00:00 UTC 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

OSTI Identifier:: 1873088

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

Citation Formats


                    Timoshenko, J., Wrasman, C. J., Luneau, M., Shirman, T., Cargnello, M., Bare, S. R., Aizenberg, J., Friend, C. M., and Frenkel, A. I. Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning.  United States: N. p., 2019. 
        Web.  doi:10.7910/DVN/YBAVZF.

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                    Timoshenko, J., Wrasman, C. J., Luneau, M., Shirman, T., Cargnello, M., Bare, S. R., Aizenberg, J., Friend, C. M., & Frenkel, A. I. Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning.  United States.  doi:https://doi.org/10.7910/DVN/YBAVZF

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                    Timoshenko, J., Wrasman, C. J., Luneau, M., Shirman, T., Cargnello, M., Bare, S. R., Aizenberg, J., Friend, C. M., and Frenkel, A. I. 2019.  
"Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning".  United States.  doi:https://doi.org/10.7910/DVN/YBAVZF.  https://www.osti.gov/servlets/purl/1873088. Pub date:Thu May 09 04:00:00 UTC 2019

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@article{osti_1873088,

  title        = {Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning},

  author       = {Timoshenko, J. and Wrasman, C. J. and Luneau, M. and Shirman, T. and Cargnello, M. and Bare, S. R. and Aizenberg, J. and Friend, C. M. and Frenkel, A. I.},

  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/YBAVZF},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu May 09 04:00:00 UTC 2019},

  month        = {Thu May 09 04:00:00 UTC 2019}

}

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

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