Bulletin of the American Physical Society
66th Annual Meeting of the APS Division of Plasma Physics
Monday–Friday, October 7–11, 2024; Atlanta, Georgia
Session PP12: Poster Session VI:
MFE Analytical, Computational and Data Science Techniques and Machine Learning
MFE Active Control and Whole Device Modelings
MFE MHD and Stability
DIII-D and Conventional Tokamaks II
Warm Dense Matter
Particle acceleration, beams and relativistic plasmas: Laser-plasma wakefield or direct laser accelerators
2:00 PM - 5:00 PM
Wednesday, October 9, 2024
Hyatt Regency
Room: Grand Hall West
Abstract: PP12.00030 : Enhancing fusion AI/ML research with the Fusion Data Platform*
Presenter:
Brian Sammuli
(General Atomics)
Authors:
Brian Sammuli
(General Atomics)
Erik Olofsson
(General Atomics - San Diego)
Tom F Neiser
(General Atomics - San Diego)
Mitchell Clark
(General Atomics)
Cihan Akcay
(General Atomics)
Javier H Nicolau
(University of California, San Diego)
Fabio Andrijauskas
(University of California, San Diego)
Annmary J Koomthanam
(Hewlett Packard Enterprise)
Aalap Tripathy
(Hewlett Packard Enterprise)
Rishabh Sharma
(Hewlett Packard Enterprise)
Matthew Waller
(Sapientai)
Ruqi Pei
(Sapientai)
Amitava Majumdar
(University of California, San Diego)
Rose Yu
(University of California San Diego)
Sicun Gao
(University of California, San Diego)
Frank Wuerthwein
(University of California, San Diego)
Raffi M Nazikian
(General Atomics)
Martin Foltin
(Hewlett Packard Enterprise)
Craig Michoski
(Sapientai)
David P Schissel
(General Atomics - San Diego)
The FDP aims to bridge the gap between fusion scientists and AI/ML researchers by offering a unified environment that integrates experimental and simulation data from multiple sources. This comprehensive platform includes advanced features such as federated data sharing via the Open Science Data Federation, fusion-specific data curation tools, and integrated provenance tracking for code, data, and generated artifacts.
This presentation will serve as the announcement of the initial release of the platform, and will detail the FDP design, highlight its capabilities, and discuss the collaborative efforts that have shaped its creation. Beta users will be invited to participate and will gain access to FDP tools, along with federated usage of DIII-D data, including both experimental and gyrokinetic simulation datasets, at the San Diego Supercomputer Center.
*Work supported by the U.S. DOE, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under Award No. DE-FC02-04ER54698, along with Office of Fusion Energy Sciences Awards No. DE-SC0024426, DE-SC0024499, DE-SC0024409, and DE-SC0024571.
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