C. Scott | TAE Technologies | Fusion Power Clean Energy Company

MultiPINNs

by webmaster | Nov 2021 | Posters, Equilibrium, Experiment, Fusion Energy, Fusion Research, Fusion Science, Fusion Technology, Plasma Research, Research Library

November 2021 | C. Scott | APS-DPP 2021 | Poster

Using an Ensemble of Physics-Informed Neural Networks to Generalize to Unseen Equilibria

Detection and Prediction of a Beam-Driven Mode in Field-Reversed Configuration Plasma With Recurrent Neural Networks

Detection and Prediction of a Beam-Driven Mode in Field-Reversed Configuration Plasma With Recurrent Neural Networks

by webmaster | Oct 2020 | Papers, Experiment, Fusion Energy, Fusion Research, Fusion Science, Fusion Technology, Instabilities, Plasma Research, Research Library, Simulation

October 2020 | C. Scott | Nuclear Fusion | Paper

Energetic beams excite semi-repetitive modes (‘staircase mode’) in the field-reversed configuration (FRC) plasma.