Quantitative gas-phase transmission electron microscopy: Where are we now and what comes next?

Jinschek, Joerg R.; Helveg, Stig; Allard, Lawrence F.; Dionne, Jennifer A.; Zhu, Yuanyuan; Crozier, Peter A.

doi:10.1557/s43577-023-00648-8

Title: Quantitative gas-phase transmission electron microscopy: Where are we now and what comes next?

Journal Article · 05 February 2024 · MRS Bulletin

DOI: https://doi.org/10.1557/s43577-023-00648-8 · OSTI ID:2284017

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Technical Univ. of Denmark, Lyngby (Denmark)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Stanford Univ., CA (United States)
Univ. of Connecticut, Storrs, CT (United States)
Arizona State Univ., Tempe, AZ (United States)

Based on historical developments and the current state of the art in gas-phase transmission electron microscopy (GP-TEM), we provide a perspective covering exciting new technologies and methodologies of relevance for chemical and surface sciences. Considering thermal and photochemical reaction environments, we emphasize the benefit of implementing gas cells, quantitative TEM approaches using sensitive detection for structured electron illumination (in space and time) and data denoising, optical excitation, and data mining using autonomous machine learning techniques. These emerging advances open new ways to accelerate discoveries in chemical and surface sciences.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); Novo Nordisk Foundation; Danish National Research Foundation; National Science Foundation (NSF)

Grant/Contract Number:: AC05-00OR22725; SC0021984; 110114; DNRF146; CBET 2238213; OAC 1940263; 2104105; CBET 1604971; DMR 184084

OSTI ID:: 2284017

Alternate ID(s):: OSTI ID: 2301645

Journal Information:: MRS Bulletin, Vol. 49; ISSN 0883-7694

Publisher:: Materials Research SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Surface Rearrangement and Sublimation Kinetics of Supported Gold Nanoparticle Catalysts Horwath, James P.; Lehman-Chong, Colin; Vojvodic, Aleksandra ACS Nano, Vol. 17, Issue 9 https://doi.org/10.1021/acsnano.2c10523	journal	April 2023
Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies Faraz, Khuram; Grenier, Thomas; Ducottet, Christophe Scientific Reports, Vol. 12, Issue 1 https://doi.org/10.1038/s41598-022-06308-2	journal	February 2022
Automated processing of environmental transmission electron microscopy images for quantification of thin film dewetting and carbon nanotube nucleation dynamics Dee, Nicholas T.; Schneider, Martin; Zakharov, Dmitri N. Carbon, Vol. 192 https://doi.org/10.1016/j.carbon.2022.02.019	journal	June 2022
Machine Learning for Revealing Spatial Dependence among Nanoparticles: Understanding Catalyst Film Dewetting via Gibbs Point Process Models Aziz Ezzat, Ahmed; Bedewy, Mostafa The Journal of Physical Chemistry C, Vol. 124, Issue 50 https://doi.org/10.1021/acs.jpcc.0c07765	journal	December 2020

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