PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

PDF] One-Shot Transfer Learning of Physics-Informed Neural Networks

Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges - ScienceDirect

Benchmark problem x = y line. The dashed lines show the exact

PDF] PIXEL: Physics-Informed Cell Representations for Fast and

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A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks - ScienceDirect

PDF] Conditional physics informed neural networks

2311.13812 - Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators

Physics-informed machine learning meets engineering seminar series

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Authors Physics Informed Deep Learning

Amirreza Rouhi on LinkedIn: Towards a physics-informed deep reinforcement learning framework for more…

Phi-ML meets Engineering - PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport - ScienceDirect

Plot of the function represented by the neural network