Reduced-order modelling of equations of state using tensor decomposition for robust, accurate and efficient property calculation in high-pressure fluid flow simulations-Reference-Cited by-同舟云学术

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Reduced-order modelling of equations of state using tensor decomposition for robust, accurate and efficient property calculation in high-pressure fluid flow simulations

Published:2020-11 Issue: Volume:165 Page:104938
ISSN:0896-8446
Container-title:The Journal of Supercritical Fluids
language:en
Short-container-title:The Journal of Supercritical Fluids

Author:

Alfaro-Isac Carmen,Izquierdo-Estallo Salvador^ORCID,Sierra-Pallares José^ORCID

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,General Chemical Engineering

Reference37 articles.

1. Multiparameter Equations of State: An Accurate Source of Thermodynamic Property Data;Span,2013

2. Direct numerical simulation of a transitional supercritical binary mixing layer: heptane and nitrogen;Okong’o;J. Fluid Mech.,2002

3. A priori and a posteriori investigations for developing large eddy simulations of multi-species turbulent mixing under high-pressure conditions;Borghesi;Phys. Fluids,2015

4. Quantification of mixing efficiency in turbulent supercritical water hydrothermal reactors;Sierra-Pallares;Chem. Eng. Sci.,2011

5. Crossing the Widom-line - supercritical pseudo-boiling;Banuti;J. Supercrit. Fluids,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model Reduction by Generalized Falk Method for Efficient Field-Circuit Simulations;Computer Modeling in Engineering & Sciences;2021

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