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Data Party THU
Data Party THU
Oct 26, 2025 · Artificial Intelligence

How AI Predicts Tokamak Plasma Dynamics with Tiny Datasets

MIT researchers combined physics constraints with data‑driven neural networks to create a Neural State‑Space Model that, using only a few hundred tokamak discharge records, accurately forecasts plasma dynamics during ramp‑down, identifies instabilities, and enables rapid parallel simulations on a single A100 GPU, advancing fusion energy control.

AIFusion EnergyNeural State Space Model
0 likes · 9 min read
How AI Predicts Tokamak Plasma Dynamics with Tiny Datasets
AIWalker
AIWalker
Jul 1, 2025 · Artificial Intelligence

How a Minor Tweak to PINN Achieves Up to 100× Speedup

Recent breakthroughs such as VS‑PINN, Stiff‑PINN, MAD‑Scientist and KAN‑ODEs demonstrate how small algorithmic changes and novel training strategies can accelerate physics‑informed neural networks by orders of magnitude while expanding their applicability to stiff PDEs, chemical kinetics and dynamical systems.

PINNPhysics-Informed Neural NetworksScientific Machine Learning
0 likes · 6 min read
How a Minor Tweak to PINN Achieves Up to 100× Speedup