AINeutralarXiv – CS AI · 14h ago6/10
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Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
Researchers identify a consistent three-regime structure in scientific machine learning (SciML) models, demonstrating that neural networks exhibit distinct failure modes and training behaviors depending on hyperparameter settings. The study reveals that optimization methods are regime-specific with no universal solution, providing a diagnostic framework to improve model robustness across physics-informed neural networks, neural operators, and neural ODEs.