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20182026
most citedFinite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations

363 citations · 462 across the 10 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.CE2024

Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations

Mohammed Alsubeihi, Arthur Jessop, Ben Moseley +2

Population balance equation (PBE) models have potential to automate many engineering processes with far-reaching implications. In the pharmaceutical sector, crystallization model-b…

math.NA2024

ELM-FBPINNs: An Efficient Multilevel Random Feature Method

Samuel Anderson, Victorita Dolean, Ben Moseley +1

Domain-decomposed variants of physics-informed neural networks (PINNs) such as finite basis PINNs (FBPINNs) mitigate some of PINNs' issues like slow convergence and spectral bias t…