most citedActive Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.plasm-ph2024★ 1 cited

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning

Allen M. Wang, Oswin So, Charles Dawson +3

The tokamak offers a promising path to fusion energy, but plasma disruptions pose a major economic risk, motivating considerable advances in disruption avoidance. This work develop…

physics.plasm-ph2023

Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors

Allen M. Wang, Darren T. Garnier, Cristina Rea

While fusion reactors known as tokamaks hold promise as a firm energy source, advances in plasma control, and handling of events where control of plasmas is lost, are needed for th…