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Author

Raghav Gnanasambandam

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2 papers indexed here

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Preprint Oct 2026

Temperature-Dependent Multiphysics Modeling of Additive Friction Stir Deposition Using Multi-Task Coupled Physics-Informed Neural Networks

Additive friction stir deposition (AFSD) involves strongly coupled thermal and material-flow fields generated by frictional heating, severe plastic deformation, and tool-imposed boundary conditions. High-fidelity finite-volume methods (FVMs) can resolve these coupled fields accurately, but their computational cost limi...

Dhrubajyoti Gupta, Nikhil Gotawala, Raghav Gnanasambandam et al. · 0 citations
Conference

GeoPIPN: A Novel Geometry-Aware Deep Learning PDE Solver for Faster Thermal Quality Control on Unseen Geometries

This presentation proposes Geometry and Physics Informed PointNet (GeoPIPN), a novel deep learning-based Partial Differential Equation (PDE) solver tailored for quality control and reliability engineering by rapidly solving PDEs across unseen geometries without further training. PDEs model physical processes like therm...

Amirul Islam Saimon, Raghav Gnanasambandam, Zhen-Yu Kong · 0 citations

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