PINNs solve the nonlinear bowed mass-spring system for all tested bow forces, PI-DeepONets fail at high bow force, and adding supervised data rescues them.
Implementation We validate the PINNs and PI-DeepONets for ω = 2 πf, f = 100 Hz, a = 100, and vB = 0.2 m s−1, considering three differ- ent values of FB set as 10, 100, and 1000
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Physics-Informed Deep Learning for Nonlinear Friction Model of Bow-string Interaction
PINNs solve the nonlinear bowed mass-spring system for all tested bow forces, PI-DeepONets fail at high bow force, and adding supervised data rescues them.