Importance of theory, computation and predictive modeling in the US magnetic fusion energy strategic plan
Fatima Ebrahimi, Gary Staebler, Paul Bonoli, Francois Waelbroeck,, Chris Hegna, Lynda LoDestro, M.J. Pueschel, and I. Joseph

TL;DR
This paper emphasizes the critical role of theory, computation, and predictive modeling in advancing US magnetic fusion energy, based on community input and strategic planning efforts.
Contribution
It consolidates community insights and strategic priorities for theory and computation in US magnetic fusion energy, guiding future research directions.
Findings
Highlights the importance of theory and modeling in fusion energy development
Incorporates community input from NAS workshops and APS-DPP-CPP
Provides strategic recommendations for US fusion research
Abstract
Based on the community input at the National Academy of Sciences (NAS) Madison and Austin workshops in July and December 2017, respectively, this whitepaper was prepared and submitted to the NAS in the category of US fusion theory and computation. This whitepaper was submitted to NAS as one of five community-approved whitepapers. The revised version was also submitted for the Knoxville American Physical Society Division of Plasma Physics Community Planning Process (APS-DPP-CPP) workshop in September 2019.
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Taxonomy
TopicsData Quality and Management
