An improved periodic activation for PINNs reconstructing convective flows
ScientificML
This paper proposes an improved periodic activation using complex exponential functions generating paired sine-cosine outputs for Physics-Informed Neural Networks, demonstrating superior performance over sine-activated MLPs in reconstructing temperature fields from sparse velocity data in convective flows.
See LICENSE file PINNsperiodic activationconvective flows