2 citations · 4 across the 11 of their papers we have counts for
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math.NA2023★ 2 cited
Domain decomposition-based coupling of physics-informed neural networks via the Schwarz alternating method
Will Snyder, Irina Tezaur, Christopher Wentland
Physics-informed neural networks (PINNs) are appealing data-driven tools for solving and inferring solutions to nonlinear partial differential equations (PDEs). Unlike traditional…
cs.LG2023
Canonical and Noncanonical Hamiltonian Operator Inference
Anthony Gruber, Irina Tezaur
A method for the nonintrusive and structure-preserving model reduction of canonical and noncanonical Hamiltonian systems is presented. Based on the idea of operator inference, this…
math.NA2023
Residual-based stabilized reduced-order models of the transient convection-diffusion-reaction equation obtained through discrete and continuous projection
Eric Parish, Masayuki Yano, Irina Tezaur +1
Galerkin and Petrov-Galerkin projection-based reduced-order models (ROMs) of transient partial differential equations are typically obtained by performing a dimension reduction and…