Discontinuity Computing Using Physics-Informed Neural Networks A Novel Approach
Discontinuity computing using physics-informed neural networks opens a fascinating new frontier in computational modeling. This approach leverages the power of neural networks, guided by physical laws, to tackle complex problems involving abrupt changes or discontinuities in systems. Imagine the possibilities of accurately simulating phenomena with sharp transitions, from material interfaces to shock waves, all within…
