Volume 34, Issue 4

Search all Theoretical and Computational Fluid Dynamics articles

August 2020

Special Issue: machine learning and data-driven methods in fluid dynamics

Issue Editors:

Steven Brunton,
Maziar S. Hemati,
Kunihiko Taira

13 articles in this issue

Special issue on machine learning and data-driven methods in fluid dynamics
Steven L. Brunton
Maziar S. Hemati
Kunihiko Taira
Editorial 05 August 2020 Pages: 333 - 337
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Data-driven modeling of the chaotic thermal convection in an annular thermosyphon
Jean-Christophe Loiseau
Original Article 01 July 2020 Pages: 339 - 365
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes
Kazuto Hasegawa
Kai Fukami
Koji Fukagata
Original Article 06 May 2020 Pages: 367 - 383
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Dimensionality reduction and reduced-order modeling for traveling wave physics
Ariana Mendible
Steven L. Brunton
J. Nathan Kutz
Original Article 02 May 2020 Pages: 385 - 400
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Toward particle-resolved accuracy in Euler–Lagrange simulations of multiphase flow using machine learning and pairwise interaction extended point-particle (PIEP) approximation
S. Balachandar
W. C. Moore
K. Liu
Original Article 30 June 2020 Pages: 401 - 428
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
Suraj Pawar
Omer San
Prakash Vedula
Original Article 04 January 2020 Pages: 429 - 455
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
An adaptive mesh refinement approach based on optimal sparse sensing
Daniel Foti
Sven Giorno
Karthik Duraisamy
Original Article 10 April 2020 Pages: 457 - 482
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Enhancement of shock-capturing methods via machine learning
Ben Stevens
Tim Colonius
Original Article 23 May 2020 Pages: 483 - 496
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Assessment of supervised machine learning methods for fluid flows
Kai Fukami
Koji Fukagata
Kunihiko Taira
Original Article 27 February 2020 Pages: 497 - 519
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
An ensemble Kalman filter approach to parameter estimation for patient-specific cardiovascular flow modeling
Daniel Canuto
Joe L. Pantoja
Jeff D. Eldredge
Original Article 29 April 2020 Pages: 521 - 544
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Flowtaxis in the wakes of oscillating airfoils
Brendan Colvert
Geng Liu
Eva Kanso
Original Article 09 August 2020 Pages: 545 - 556
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Data-driven selection of actuators for optimal control of airfoil separation
Debraj Bhattacharjee
Bjoern Klose
Maziar S. Hemati
Original Article 27 April 2020 Pages: 557 - 575
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics
Deep model predictive flow control with limited sensor data and online learning
Katharina Bieker
Sebastian Peitz
Michael Dellnitz
S.I.: Machine learning and data-driven methods in fluid dynamics Open access 12 March 2020 Pages: 577 - 591
Part of 1 collection:

Special Issue: Machine learning and data-driven methods in fluid dynamics

Volume 34, Issue 4

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