Physics-Informed Neural Networks Applied to Avalanche Dynamics in Indian Himalayas
Physics-Informed Neural Networks Applied to Avalanche Dynamics in Indian Himalayas
IN · Published Sep 29, 2026
• Researchers at the Indian Institute of Technology Mandi have developed a physics-informed neural network (PINN) framework to model avalanche dynamics in the Indian Himalayas.
• The study focuses on depth-averaged granular flow using the Savage–Hutter model, progressing from one-dimensional analytical verification to two-dimensional experimental validation.

Impact & Risks

Avalanches in the Indian Himalayas can cause severe damage to infrastructure, block rivers, and endanger lives. The study highlights the importance of accurate modelling for risk mitigation, especially in regions prone to snow and debris avalanches. By improving predictions of avalanche motion, the framework could help authorities plan evacuation routes, design protective structures, and reduce the impact of such disasters on local communities.

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