AI/Deep Learning FRNN Software for Prediction & Real-Time Control of DIII-D Plasma Control System (PCS) (Final Technical Report)
- Univ. of California, Davis, CA (United States)
This document is the final technical report for the UC Davis project DE-SC00023500, detailing the development and implementation of a Fast Recurrent Neural Network (FRNN) software. The software was designed to enable predictive, real-time control of plasma instabilities within the DIII-D Plasma Control System (PCS).
- Research Organization:
- Univ. of California, Davis, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- SC0023500
- OSTI ID:
- 3005512
- Report Number(s):
- SC0023500
- Country of Publication:
- United States
- Language:
- English
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Artificial Intelligence/Deep Learning FRNN Software for Prediction & Real-Time Control of DIII-D Plasma Control System (PCS)
Technical Report
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Tue Sep 16 20:00:00 EDT 2025
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OSTI ID:2588687