CPINNs: a coupled physics-informed neural networks for the closed-loop geothermal system
DOI10.1016/j.camwa.2023.01.002OpenAlexW4318672580MaRDI QIDQ2682678
Publication date: 1 February 2023
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2023.01.002
convergencecoupled problemphysics-informed neural networksdeep learning methodclosed-loop geothermal system
Learning and adaptive systems in artificial intelligence (68T05) Navier-Stokes equations for incompressible viscous fluids (76D05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs (65M12) Finite element methods applied to problems in fluid mechanics (76M10)
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