Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning

Timoshenko, Janis; Wrasman, Cody J.; Luneau, Mathilde; Shirman, Tanya; Cargnello, Matteo; Bare, Simon R.; Aizenberg, Joanna; Friend, Cynthia M.; Frenkel, Anatoly I.

doi:10.1021/acs.nanolett.8b04461

Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning

Journal Article · Sun Dec 02 23:00:00 EST 2018 · Nano Letters

DOI:https://doi.org/10.1021/acs.nanolett.8b04461· OSTI ID:1503695

Timoshenko, Janis ^[1]; Wrasman, Cody J. ^[2]; Luneau, Mathilde; Shirman, Tanya; ^[2]; ^[3]; Aizenberg, Joanna; ; ^[4]

Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
Department of Chemical Engineering and SUNCAT Center for Interface Science and Catalysis, Stanford University, Stanford, California 94305, United States
Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California 94025, United States
Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States; Division of Chemistry, Brookhaven National Laboratory, Upton, New York 11973, United States

Abstract not provided

Research Organization:: Energy Frontier Research Centers (EFRC) (United States). Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC); Advanced Photon Source (APS), Argonne National Laboratory (ANL), Argonne, IL (US)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

OSTI ID:: 1503695

Journal Information:: Nano Letters, Journal Name: Nano Letters Journal Issue: 1 Vol. 19; ISSN 1530-6984

Publisher:: American Chemical Society

Country of Publication:: United States

Language:: ENGLISH

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