De Rham cohomological architectures for PINNs
Hodge-de Rham physics-informed neural networks are introduced to address failure modes in scenarios with topological holes and discontinuous interfaces.
Hodge-de Rham physics-informed neural networks are introduced to address failure modes in scenarios with topological holes and discontinuous interfaces.