#neural-surrogates News & Analysis

2 articles tagged with #neural-surrogates. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 237/10

🧠

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations

Researchers introduce GyroSwin, a neural surrogate model that simulates 5D gyrokinetic plasma turbulence with 1000x computational efficiency while capturing nonlinear physics effects. This breakthrough combines hierarchical Vision Transformers with cross-attention mechanisms to predict turbulent heat transport more accurately than traditional reduced-order models, advancing nuclear fusion energy research.

AIBullisharXiv – CS AI · May 287/10

🧠

Hybrid Neural World Models

Researchers present hybrid neural world models that use machine learning surrogates to accelerate physical dynamics simulations while maintaining accuracy at discontinuities like shocks and contacts. The approach achieves 26-72x speedups over traditional solvers while implicitly learning to identify uncertain regions without explicit training, with an optional fallback mode using classical solvers for high-confidence predictions.