Physics-Based Deep Learning: Insights into Physics-Informed Neural Networks (PINNs)

Physics-Informed Neural Networks (PINNs) have become a cornerstone in integrating deep learning with physical laws to solve complex differential equations, marking a significant advance in scientific computing and applied mathematics. These networks offer a novel methodology for encoding differential equations directly into the architecture of neural networks, ensuring that solutions adhere to the fundamental laws […]

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