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cs.GR2026
PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces
Pranav Jain, Navami Kairanda, Peter Yichen Chen +1
Partial differential equations (PDEs) on surfaces are fundamental to scientific computing and geometry processing. A popular approach to solving PDEs on surfaces is the finite elem…
cs.LG2026
DInf-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids
Navami Kairanda, Shanthika Naik, Marc Habermann +3
We present a novel differentiable grid-based representation for efficiently solving differential equations (DEs). Widely used architectures for neural solvers, such as sinusoidal n…