Transformative studies in fluid dynamics

Learn about our research

Welcome to the Computational Turbulence Group. We are part of Galcit at Caltech and AeroAstro at MIT


Announcements

Sep 2024: Check our paper “Building-block-flow computational model for large-eddy simulation of external aerodynamic applications” published in Communications Engineering.

Aug 2024: Álvaro and Adrián presented their work on “Causality of the energy cascade in isotropic turbulence” and “Building-block-flow model for large-eddy simulation” at the 26th International Congress of Theoretical and Applied Mechanics in Daegu, South Korea.

July 2024: Yuan, Rong, Yuenong, Gonzalo and Adrian attended the Stanford CTR Summer Program with the project “Building-block-flow model for LES of high-speed flows“.

July 2024: Adrian presented his work on “Machine-learning building-block-flow model for large-eddy simulation of high-speed flows with strong heat transfer and wall roughness” at the NASA Langley/Ames EDL Summer Seminar Series.

July 2024: Check our latest conference paper "Building-Block-Flow Model for Large-Eddy Simulation: GPU Implementation and Application to the CRM-HL" presented at the AIAA AVIATION FORUM 2024.

June 2024: Check our last paper “Limits to extreme event forecasting in chaotic systems” published in Physica D: Nonlinear Phenomena. Congratulations Yuan!

June 2024: Our new pre-print on “Machine-learning wall-model large-eddy simulation accounting for isotropic roughness under local equilibrium” is out!

May 2024: Check our new pre-print on “Decomposing causality into its synergistic, unique, and redundant components”!

Apr 2024: Adrian presented our work on “Causal inference in complex physical systems“ at the CSE Seminar Series from MIT. Check the abstract here.

Apr 2024: The proceedings for the 5th Madrid Turbulence Workshop on “Causality between streaks and bursts in wall- bounded turbulence“, “Are the dynamics of wall turbulence in minimal channels and larger domain channels equivalent? A graph-theoretic approach “ and “Forgetfulness of turbulent energy cascade associated with different mechanisms” are out!

Apr 2024: Adrian presented his work on “Building-block Flow Model for Computational Fluids“ at the CSE Seminar Series, hosted by the School of Interactive Computing in Georgia Tech. Check the abstract here.

Apr 2024: Gonzalo presented his work on “Building-block-flow model for large-eddy simulation: application to a smooth body separated flow“ at 14th edition of the Workshop Series on Direct and Large Eddy Simulation (DLES), in Erlangen, Germany.

Apr 2024: Adrian presented “Causal inference in complex physical systems“ at MIT CSE Community Seminar. Check the abstract here.

Mar 2024: Adrian presented his work on “Building-block Flow Model for Computational Fluids“ at the MIT Gas Turbine Laboratory Seminar. Check the abstract here.

Mar 2024: Check our new pre-print on “Building-block flow model for computational fluids”.

Feb 2024: Our new pre-print on “Informative and non-informative decomposition of turbulent flow fields” is out.

Feb 2024: Check our new pre-print on “The coherent structure of the energy cascade in isotropic turbulence”!

Jan 2024: Our new pre-print on “Limits to extreme event forecasting in chaotic systems” is out.

View all announcements here.


Featured Publications

G. Arranz, Y. Ling, S. Costa, K. Goc, and A. Lozano-Duran. “Building-block-flow computational model for large-eddy simulation of external aerodynamic applications”, Communications Engineering 3:127, 2024.

A. Lozano-Durán and H. J. Bae, “Machine-learning building-block-flow wall model for large-eddy simulation“, J. Fluid Mech., 963, A35 , 2023.

A. Lozano-Durán, G. Arranz, ’’Information-theoretic formulation of dynamical systems: causality, modeling, and control”, Physical Review Research, 2022.

Y. Yuan and A. Lozano-Duran, Limits to extreme event forecasting in chaotic systems, Physica D., 467, 134246, 2024.

A. Towne, S. T. M. Dawson, G. A. Brès, A. Lozano-Durán, T. Saxton-Fox, A. Parthasarathy, A. R. Jones, H. Biler, C.-A. Yeh, H. D. Patel, and K. Taira, “A Database for Reduced-Complexity Modeling of Fluid Flows“, AIAA J., 2023

View all publications here.