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Title: Outlook for artificial intelligence and machine learning at the NSLS-II

Abstract

Abstract We describe the current and future plans for using artificial intelligence and machine learning (AI/ML) methods at the National Synchrotron Light Source II (NSLS-II), a scientific user facility at the Brookhaven National Laboratory. We discuss the opportunity for using the AI/ML tools and techniques developed in the data and computational science areas to greatly improve the scientific output of large scale experimental user facilities. We describe our current and future plans in areas including from detecting and recovering from faults, optimizing the source and instrument configurations, streamlining the pipeline from measurement to insight, through data acquisition, processing, analysis. The overall strategy and direction of the NSLS-II facility in relation to AI/ML is presented.

Authors:
ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1835323
Alternate Identifier(s):
OSTI ID: 1677662
Report Number(s):
BNL-219954-2020-JAAM
Journal ID: ISSN 2632-2153
Grant/Contract Number:  
SC0012704
Resource Type:
Published Article
Journal Name:
Machine Learning: Science and Technology
Additional Journal Information:
Journal Name: Machine Learning: Science and Technology Journal Volume: 2 Journal Issue: 1; Journal ID: ISSN 2632-2153
Publisher:
IOP Publishing
Country of Publication:
United Kingdom
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Campbell, Stuart I., Allan, Daniel B., Barbour, Andi M., Olds, Daniel, Rakitin, Maksim S., Smith, Reid, and Wilkins, Stuart B. Outlook for artificial intelligence and machine learning at the NSLS-II. United Kingdom: N. p., 2021. Web. doi:10.1088/2632-2153/abbd4e.
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Campbell, Stuart I., Allan, Daniel B., Barbour, Andi M., Olds, Daniel, Rakitin, Maksim S., Smith, Reid, & Wilkins, Stuart B. Outlook for artificial intelligence and machine learning at the NSLS-II. United Kingdom. https://doi.org/10.1088/2632-2153/abbd4e
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Campbell, Stuart I., Allan, Daniel B., Barbour, Andi M., Olds, Daniel, Rakitin, Maksim S., Smith, Reid, and Wilkins, Stuart B. Wed . "Outlook for artificial intelligence and machine learning at the NSLS-II". United Kingdom. https://doi.org/10.1088/2632-2153/abbd4e.
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@article{osti_1835323,
title = {Outlook for artificial intelligence and machine learning at the NSLS-II},
author = {Campbell, Stuart I. and Allan, Daniel B. and Barbour, Andi M. and Olds, Daniel and Rakitin, Maksim S. and Smith, Reid and Wilkins, Stuart B.},
abstractNote = {Abstract We describe the current and future plans for using artificial intelligence and machine learning (AI/ML) methods at the National Synchrotron Light Source II (NSLS-II), a scientific user facility at the Brookhaven National Laboratory. We discuss the opportunity for using the AI/ML tools and techniques developed in the data and computational science areas to greatly improve the scientific output of large scale experimental user facilities. We describe our current and future plans in areas including from detecting and recovering from faults, optimizing the source and instrument configurations, streamlining the pipeline from measurement to insight, through data acquisition, processing, analysis. The overall strategy and direction of the NSLS-II facility in relation to AI/ML is presented.},
doi = {10.1088/2632-2153/abbd4e},
journal = {Machine Learning: Science and Technology},
number = 1,
volume = 2,
place = {United Kingdom},
year = {Wed Mar 31 00:00:00 EDT 2021},
month = {Wed Mar 31 00:00:00 EDT 2021}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1088/2632-2153/abbd4e
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Figures / Tables:

Figure 1 Figure 1: Aerial photograph of the National Synchrotron Light Source Ⅱ situated at Brookhaven National Laboratory. (Courtesy of Brookhaven National Laboratory)
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