5 citations · 8 across the 3 of their papers we have counts for
3 papers
Autoregressive Transformers for Disruption Prediction in Nuclear Fusion Plasmas
Lucas Spangher, William Arnold, Alexander Spangher +2
The physical sciences require models tailored to specific nuances of different dynamics. In this work, we study outcome predictions in nuclear fusion tokamaks, where a major challe…
Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas
William F Arnold, Lucas Spangher, Christina Rea
Grid decarbonization for climate change requires dispatchable carbon-free energy like nuclear fusion. The tokamak concept offers a promising path for fusion, but one of the foremos…
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
William Arnold, Tarang Srivastava, Lucas Spangher +2
Optimizing prices for energy demand response requires a flexible controller with ability to navigate complex environments. We propose a reinforcement learning controller with surpr…