https://github.com/vijaideen/VICTOR-GSC2026

VICTOR (Variational Inference for Confined Tokamak Output Reconstruction) — A Physics-Informed Neural Network that reconstructs plasma emissivity on the WEST Tokamak in ~0.5ms, trained entirely without ground-truth labels. Enabling real-time fusion reactor diagnostics and disruption prevention.

deep-learning-scientific-computing flax google-cloud-run gsc2026 jax nuclear-fusion open-innovation physics-informed-neural-network plasma-diagnostics sdg7 soft-xray-tomography streamlit tokamak unbiased-ai vertex-ai

Last synced: 10 Jun 2026