journal article·2022-08-01Open access

From Event Detection to Physical Hypothesis Learning via Automated and Autonomous Microscopy

Sergei V Kalinin, Yongtao Liu, Rama Vasudevan, Kyle Kelley, Maxim Ziatdinov

Microscopy and Microanalysis· Volume 28· Issue S1

Abstract

Electron and scanning probe microscopies are by now the mainstay of areas ranging from fundamental condensed matter physics and materials science to chemistry and biology. In many cases, these imaging methods provide quantitative or semiquantitative information on materials structure and functionalities and allow for the exploration of broad range of responses to global (temperature, chemistry) and local (beam exposure, probe bias and pressure) stimuli. However, the connection between microscopy imaging, spectral data, and specific mechanisms of physical and chemical phenomena often requires extensive studies including multiple human-driven stages.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Machine Learning in Materials Science · Advanced Electron Microscopy Techniques and Applications · Cell Image Analysis Techniques

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Affiliations

University of Tennessee Department of Materials Science and Engineering, , Knoxville, TN, United States

Oak Ridge National Laboratory , Oak Ridge, TN, United States

References (2)

Show source-provided references
1. Ovchinnikov · Microsc. Microanal · 2010 · 1610.1017/S1431927610062720 ↗
2. Kalinin · ACS Nano · 2021 · 15 · 1260410.1021/acsnano.1c02104 ↗