Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling
cs.LG, physics.comp-ph
Submitted: 2026-07-22
Updated: 2026-09-26
Terminology
Sources
- A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling
- Towards Rapid Constitutive Model Discovery from Multi-Modal Data: Physics Augmented Finite Element Model Updating (paFEMU)
- Learning Sparse Neural Networks through $L_0$ Regularization
- Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks
- Adam: A Method for Stochastic Optimization
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