Special issue on machine learning and data-driven methods in fluid dynamics

TY - JOUR

T1 - Special issue on machine learning and data-driven methods in fluid dynamics

AU - Brunton, Steven L.

AU - Hemati, Maziar S.

AU - Taira, Kunihiko

N1 - Funding Information: We thank Tim Colonius, Kozo Fujii, Koji Fukagata, Petros Koumoutsakos, Nathan Kutz, Jean-Christophe Loiseau, Bernd Noack, and Peter Schmid for stimulating discussions on data-driven methods and their applications to fluid dynamics.

PY - 2020/8/1

Y1 - 2020/8/1

UR - http://www.scopus.com/inward/record.url?scp=85089036221&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85089036221&partnerID=8YFLogxK

U2 - 10.1007/s00162-020-00542-y

DO - 10.1007/s00162-020-00542-y

M3 - Editorial

AN - SCOPUS:85089036221

SN - 0935-4964

VL - 34

SP - 333

EP - 337

JO - Theoretical and Computational Fluid Dynamics

JF - Theoretical and Computational Fluid Dynamics

IS - 4

ER -