Towards Predictive Plasma Science and Engineering through Revolutionary Multi-Scale Algorithms and Models (Final Report) Article Swipe
George Laity
,
Allen C. Robinson
,
M. E. Cuneo
,
Mary Kathleen Alam
,
Kristian Beckwith
,
Nichelle Bennett
,
Matthew Tyler Bettencourt
,
Stephen Bond
,
Kyle Cochrane
,
Louise Criscenti
,
Eric C. Cyr
,
Karen De Zetter
,
Richard Drake
,
Evstati Evstatiev
,
Andrew Fierro
,
Thomas Gardiner
,
Forrest W. Glines
,
Ronald S. Goeke
,
Nathaniel Hamlin
,
Russell Hooper
,
Jason Koski
,
J. Matthew D. Lane
,
Steven Larson
,
Kevin Leung
,
Duncan McGregor
,
Philip R. Miller
,
Sean Miller
,
Susan Ossareh
,
Edward Phillips
,
Nicholas Roberds
,
Charles W. Rose
,
John N. Shadid
,
Sidney Shields
,
Sean L. Simpson
,
David Sirajuddin
,
Thomas G. Smith
,
Matthew Swan
,
Aidan P. Thompson
,
Julien Tranchida
,
D. R. Welch
,
T. C. Genoni
,
C. Thoma
,
Alex Russell
,
Eric Watson
,
D. V. Rose
,
John D. Williams
,
Azer P. Yalin
,
R. D. McBride
,
Trevor Smith
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2172/1813907
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.2172/1813907
This report describes the high-level accomplishments from the Plasma Science and Engineering Grand Challenge LDRD at Sandia National Laboratories. The Laboratory has a need to demonstrate predictive capabilities to model plasma phenomena in order to rapidly accelerate engineering development in several mission areas. The purpose of this Grand Challenge LDRD was to advance the fundamental models, methods, and algorithms along with supporting electrode science foundation to enable a revolutionary shift towards predictive plasma engineering design principles. This project integrated the SNL knowledge base in computer science, plasma physics, materials science, applied mathematics, and relevant application engineering to establish new cross-laboratory collaborations on these topics. As an initial exemplar, this project focused efforts on improving multi-scale modeling capabilities that are utilized to predict the electrical power delivery on large-scale pulsed power accelerators. Specifically, this LDRD was structured into three primary research thrusts that, when integrated, enable complex simulations of these devices: (1) the exploration of multi-scale models describing the desorption of contaminants from pulsed power electrodes, (2) the development of improved algorithms and code technologies to treat the multi-physics phenomena required to predict device performance, and (3) the creation of a rigorous verification and validation infrastructure to evaluate the codes and models across a range of challenge problems. These components were integrated into initial demonstrations of the largest simulations of multi-level vacuum power flow completed to-date, executed on the leading HPC computing machines available in the NNSA complex today. These preliminary studies indicate relevant pulsed power engineering design simulations can now be completed in (of order) several days, a significant improvement over pre-LDRD levels of performance.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.2172/1813907
- OA Status
- green
- Cited By
- 4
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3195455383Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2172/1813907Digital Object Identifier
- Title
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Towards Predictive Plasma Science and Engineering through Revolutionary Multi-Scale Algorithms and Models (Final Report)Work title
- Type
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reportOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
-
George Laity, Allen C. Robinson, M. E. Cuneo, Mary Kathleen Alam, Kristian Beckwith, Nichelle Bennett, Matthew Tyler Bettencourt, Stephen Bond, Kyle Cochrane, Louise Criscenti, Eric C. Cyr, Karen De Zetter, Richard Drake, Evstati Evstatiev, Andrew Fierro, Thomas Gardiner, Forrest W. Glines, Ronald S. Goeke, Nathaniel Hamlin, Russell Hooper, Jason Koski, J. Matthew D. Lane, Steven Larson, Kevin Leung, Duncan McGregor, Philip R. Miller, Sean Miller, Susan Ossareh, Edward Phillips, Nicholas Roberds, Charles W. Rose, John N. Shadid, Sidney Shields, Sean L. Simpson, David Sirajuddin, Thomas G. Smith, Matthew Swan, Aidan P. Thompson, Julien Tranchida, D. R. Welch, T. C. Genoni, C. Thoma, Alex Russell, Eric Watson, D. V. Rose, John D. Williams, Azer P. Yalin, R. D. McBride, Trevor SmithList of authors in order
- Landing page
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https://doi.org/10.2172/1813907Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.osti.gov/biblio/1813907Direct OA link when available
- Concepts
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Scale (ratio), Grand Challenges, Computer science, Supercomputer, Systems engineering, Engineering, Physics, Operating system, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 2, 2021: 1Per-year citation counts (last 5 years)
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-
10Other works algorithmically related by OpenAlex
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