Author

Vishal Sharma

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#machine learning Preprint Sep 2026

Physics-Informed Neural Networks for Depth-Averaged Avalanche Dynamics

Accurate prediction of avalanche motion is essential for hazard assessment in mountainous terrain. This study develops and evaluates a physics-informed neural network (PINN) framework for the Savage-Hutter model of depth-averaged granular flow, progressing from 1D analytical verification to 2D experimental validation....

Pradyumn Singh Sikarwar, Vishal Sharma, Gaurav Bhutani · 0 citations

#machine learning Preprint Sep 2026

Physics-Informed Neural Networks for Depth-Averaged Granular Avalanche Dynamics on Curved Topography

Physics-informed neural networks (PINNs) provide a mesh-free framework for solving governing equations, but their application to granular avalanche dynamics over curved terrain remains largely unexplored. This study extends a depth-averaged PINN formulation based on the Savage-Hutter equations to an exponentially curve...

Pujan Pranavkumar Purohit, Pradyumn Singh Sikarwar, Vishal Sharma et al. · 0 citations