Lagrangian large eddy simulations via physics-informed machine learning.

Tian, Yifeng; Woodward, Michael; Stepanov, Mikhail; Fryer, Chris; Hyett, Criston; Livescu, Daniel; Chertkov, Michael.

Afiliación

Tian Y; Information Sciences Group, Computer, Computational and Statistical Sciences Division (CCS-3), Los Alamos National Laboratory, Los Alamos, NM 87545.
Woodward M; Graduate Interdisciplinary Program in Applied Mathematics and Department of Mathematics, University of Arizona, Tucson, AZ 85721.
Stepanov M; Computational Physics and Methods Group, Computer, Computational and Statistical Sciences Division (CCS-2), Los Alamos National Laboratory, Los Alamos, NM 87545.
Fryer C; Graduate Interdisciplinary Program in Applied Mathematics and Department of Mathematics, University of Arizona, Tucson, AZ 85721.
Hyett C; Computational Physics and Methods Group, Computer, Computational and Statistical Sciences Division (CCS-2), Los Alamos National Laboratory, Los Alamos, NM 87545.
Livescu D; Graduate Interdisciplinary Program in Applied Mathematics and Department of Mathematics, University of Arizona, Tucson, AZ 85721.
Chertkov M; Computational Physics and Methods Group, Computer, Computational and Statistical Sciences Division (CCS-2), Los Alamos National Laboratory, Los Alamos, NM 87545.

Proc Natl Acad Sci U S A ; 120(34): e2213638120, 2023 Aug 22.

Article en En | MEDLINE | ID: mdl-37585463