Replication Data for: Latent Representation Learning for Structural Characterization of Catalysts

Routh, Prahlad K.; Liu, Yang; Marcella, Nicholas; Kozinsky, Boris; Frenkel, Anatoly I.

doi:10.7910/DVN/DS5VJO

Title: Replication Data for: Latent Representation Learning for Structural Characterization of Catalysts

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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:

Routh, Prahlad K.; Liu, Yang; Marcella, Nicholas; Kozinsky, Boris; Frenkel, Anatoly I.

Stony Brook Univ., NY (United States); OSTI
Stony Brook Univ., NY (United States)
Harvard Univ., Cambridge, MA (United States)

Publication Date:: Tue Jan 11 04:00:00 UTC 2022

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:: 1872745

DOI:: https://doi.org/10.7910/DVN/DS5VJO

Citation Formats


                    Routh, Prahlad K., Liu, Yang, Marcella, Nicholas, Kozinsky, Boris, and Frenkel, Anatoly I. Replication Data for: Latent Representation Learning for Structural Characterization of Catalysts.  United States: N. p., 2022. 
        Web.  doi:10.7910/DVN/DS5VJO.

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                    Routh, Prahlad K., Liu, Yang, Marcella, Nicholas, Kozinsky, Boris, & Frenkel, Anatoly I. Replication Data for: Latent Representation Learning for Structural Characterization of Catalysts.  United States.  doi:https://doi.org/10.7910/DVN/DS5VJO

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                    Routh, Prahlad K., Liu, Yang, Marcella, Nicholas, Kozinsky, Boris, and Frenkel, Anatoly I. 2022.  
"Replication Data for: Latent Representation Learning for Structural Characterization of Catalysts".  United States.  doi:https://doi.org/10.7910/DVN/DS5VJO.  https://www.osti.gov/servlets/purl/1872745. Pub date:Tue Jan 11 04:00:00 UTC 2022

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@article{osti_1872745,

  title        = {Replication Data for: Latent Representation Learning for Structural Characterization of Catalysts},

  author       = {Routh, Prahlad K. and Liu, Yang and Marcella, Nicholas and Kozinsky, Boris and Frenkel, Anatoly 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/DS5VJO},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jan 11 04:00:00 UTC 2022},

  month        = {Tue Jan 11 04:00:00 UTC 2022}

}

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DOI: https://doi.org/10.7910/DVN/DS5VJO

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