Search Results for author: Amirul Khan

Found 1 papers, 0 papers with code

Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs

no code implementations18 Apr 2024 Jose Florido, He Wang, Amirul Khan, Peter K. Jimack

Physics-informed neural networks (PINNs) provide a means of obtaining approximate solutions of partial differential equations and systems through the minimisation of an objective function which includes the evaluation of a residual function at a set of collocation points within the domain.

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