Extracting High Spatio-Temporal Information Using Machine Learning from Pt Nanoparticles in CO Gas Environment.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada(2023)

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Journal Article Extracting High Spatio-Temporal Information Using Machine Learning from Pt Nanoparticles in CO Gas Environment Get access Piyush Haluai, Piyush Haluai School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, Arizona, United States Corresponding author: phaluai@asu.edu Search for other works by this author on: Oxford Academic Google Scholar Adrià Marcos Morales, Adrià Marcos Morales New York University, New York, United States Search for other works by this author on: Oxford Academic Google Scholar Matan Leibovich, Matan Leibovich New York University, New York, United States Search for other works by this author on: Oxford Academic Google Scholar Mai Tan, Mai Tan School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, Arizona, United States Search for other works by this author on: Oxford Academic Google Scholar Joshua Vincent, Joshua Vincent School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, Arizona, United States Search for other works by this author on: Oxford Academic Google Scholar Carlos Fernandez-Granda, Carlos Fernandez-Granda New York University, New York, United States Search for other works by this author on: Oxford Academic Google Scholar Peter A Crozier Peter A Crozier School for Engineering of Matter, Transport & Energy, Arizona State University, Tempe, Arizona, United States Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 29, Issue Supplement_1, 1 August 2023, Pages 1930–1931, https://doi.org/10.1093/micmic/ozad067.999 Published: 22 July 2023
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Key words
pt nanoparticles,machine learning,spatio-temporal
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