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20162026
most citedhp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition

833 citations · 1.1k across the 10 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.NE2019★ 199 cited

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

E. Kharazmi, Z. Zhang, G. E. Karniadakis

Physics-informed neural networks (PINNs) [31] use automatic differentiation to solve partial differential equations (PDEs) by penalizing the PDE in the loss function at a random se…

math.NA2019★ 11 cited

Vibration Analysis of Geometrically Nonlinear and Fractional Viscoelastic Cantilever Beams

Pegah Varghaei, Ehsan Kharazmi, Jorge L. Suzuki +1

We investigate the nonlinear vibration of a fractional viscoelastic cantilever beam, subject to base excitation, where the viscoelasticity takes the general form of a distributed-o…