A self-adaptive deep learning algorithm for accelerating multi-component flash calculation-Reference-Cited by-同舟云学术

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A self-adaptive deep learning algorithm for accelerating multi-component flash calculation

Published:2020-09 Issue: Volume:369 Page:113207
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zhang Tao,Li Yu,Li Yiteng^ORCID,Sun Shuyu,Gao Xin^ORCID

Funder

NSF of China

King Abdullah University of Science and Technology (KAUST), Saudi Arabia

King Abdullah University of Science and Technology, Saudi Arabia

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference45 articles.

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2. Darcy-scale phase equilibrium modeling with gravity and capillarity;Sun;J. Comput. Phys.,2019

3. A new two-constant equation of state;Peng;Ind. Eng. Chem. Fundam.,1976

4. Equilibrium constants from a modified Redlich-Kwong equation of state;Soave;Chem. Eng. Sci.,1972

5. Phase Behavior, Vol. 20;Whitson,2000

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