Inversion of equations of state by combining multi-task neural networks and Newton's method

DOI10.1080/17415977.2021.2009822OpenAlexW4200107497MaRDI QIDQ5861357

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Publication date: 4 March 2022

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2021.2009822

zbMATH Keywords

Newton's methodneural networksequations of statemulti-task learningnon-linear equationstraining strategies

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76Mxx) Compressible fluids and gas dynamics (76Nxx) Supersonic flows (76Jxx)

Uses Software

• Adam
• Refprop

Cites Work

• Modeling and simulation of cavitation in hydraulic pipelines based on the thermodynamic and caloric properties of liquid and steam
• Consistent look-up table interpolation method for real-gas flow simulations
• Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method
• Efficient implementation of high order unstructured WENO schemes for cavitating flows

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