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20172025
most citedPhysics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion

96 citations · 150 across the 17 of their papers we have counts for

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physics.comp-ph2021★ 96 cited

Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion

Shamsulhaq Basir, Inanc Senocak

Physics-informed neural networks (PINNs) have been proposed to learn the solution of partial differential equations (PDE). In PINNs, the residual form of the PDE of interest and it…

physics.comp-ph2019★ 12 cited

PittPack: An Open-Source Poisson's Equation Solver for Extreme-Scale Computing with Accelerators

Jaber J. Hasbestan, Inanc Senocak

We present a parallel implementation of a direct solver for the Poisson's equation on extreme-scale supercomputers with accelerators. We introduce a chunked-pencil decomposition as…