#physics-informed2 articles

2 articles

AIBullisharXiv – CS AI · Feb 277/104

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AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts

Researchers developed AviaSafe, a physics-informed AI model that forecasts aviation-critical cloud species up to 7 days ahead, addressing safety concerns around engine icing. The model outperforms operational weather models by predicting specific hydrometeor species rather than general atmospheric variables, enabling better aviation route optimization.

AIBullisharXiv – CS AI · 5d ago4/103

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Astral: training physics-informed neural networks with error majorants

Researchers propose Astral, a new neural network training method for physics-informed neural networks (PiNNs) that uses error majorants instead of residual minimization. The method provides direct upper bounds on errors and demonstrates faster convergence with more reliable error estimation across various partial differential equations.