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Title: Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning (Brochure)

Abstract

The US Department of Energy’s (DOE’s) twelve Basic Energy Sciences (BES) scientific user facilities provide access to the world’s most advanced research instruments, annually serving over 16,000 users with impact reported in nearly 7,000 publications and producing unprecedented quantities of scientific data. While impressive, reaching the full potential of these rapidly growing facilities will require new innovations to solve a variety of technical challenges in data acquisition, control, modeling, and analysis. Artificial intelligence and machine learning (AI/ML) have opened corresponding new avenues in optimization, efficient surrogate models, data analytics, and inverse problems. These intriguing capabilities suggest that AI/ML can greatly accelerate the quest to probe and understand fundamental phenomena across a vast range of lengths and timescales, potentially leading to transformative advances across scientific disciplines.

Authors:
Publication Date:
Research Org.:
USDOE Office of Science (SC) (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1616153
Resource Type:
Program Document
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

None, None. Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning (Brochure). United States: N. p., 2019. Web.
None, None. Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning (Brochure). United States.
None, None. Tue . "Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning (Brochure)". United States. https://www.osti.gov/servlets/purl/1616153.
@article{osti_1616153,
title = {Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning (Brochure)},
author = {None, None},
abstractNote = {The US Department of Energy’s (DOE’s) twelve Basic Energy Sciences (BES) scientific user facilities provide access to the world’s most advanced research instruments, annually serving over 16,000 users with impact reported in nearly 7,000 publications and producing unprecedented quantities of scientific data. While impressive, reaching the full potential of these rapidly growing facilities will require new innovations to solve a variety of technical challenges in data acquisition, control, modeling, and analysis. Artificial intelligence and machine learning (AI/ML) have opened corresponding new avenues in optimization, efficient surrogate models, data analytics, and inverse problems. These intriguing capabilities suggest that AI/ML can greatly accelerate the quest to probe and understand fundamental phenomena across a vast range of lengths and timescales, potentially leading to transformative advances across scientific disciplines.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {10}
}

Program Document:
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