Physics-Informed Neural N
Physics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology
Physics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology
arXiv:2407.09496v1 Announce Type: new
Abstract: Time-fractional differential equations offer a robust framework for capturing intricate phenomena characterized by memory effects, particularly in fields like biotransport and rheology. However, solving inverse problems involving fractional derivative…
