Carlo Vittorio Cannistraci

ORCID: 0000-0003-0100-8410 · 1 paper in corpus · active 2026
2026
·doi:10.20944/preprints202605.0613.v1

Physics-informed neural networks (PINNs) provide a data-efficient frameworkfor solving partial differential equations, but improving their accuracy often requires enlarging multilayer perceptron backbones, which increases parameter countand…