A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations-Reference-Cited by-同舟云学术

A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations

Published:2023-11 Issue: Volume:493 Page:112436
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Feng Yiqi^ORCID,Schranner Felix S.,Winter Josef,Adams Nikolaus A.

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

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