Realizing Smart STEM via Machine Learning on Remote High Performance Computer-Reference-Cited by-同舟云学术

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Realizing Smart STEM via Machine Learning on Remote High Performance Computer

Published:2024-07 Issue:Supplement_1 Volume:30 Page:
ISSN:1431-9276
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Pratiush Utkarsh¹,Roccapriore Kevin M²,Liu Yongtao²,Kalinin Sergei V¹³,Duscher Gerd¹

Affiliation:

1. Department of Materials Science and Engineering, University of Tennessee , Knoxville, TN , USA

2. Center for Nanophase Materials Sciences, Oak Ridge National Laboratory , Oak Ridge, TN , USA

3. Pacific Northwest National Laboratory , Richland, WA , USA

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/mam/article-pdf/30/Supplement_1/ozae044.164/58670532/ozae044.164.pdf

Reference8 articles.

1. Human-in-the-Loop: The Future of Machine Learning in Automated Electron Microscopy

2. A Processing and Analytics System for Microscopy Data Workflows: The Pycroscopy Ecosystem of Packages

3. Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries

4. Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process

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