Transformative studies in fluid dynamics

Learn about our research

Welcome to the Aerofluids, Learning & Discovery Lab (ALD Lab). We are part of Galcit at Caltech and AeroAstro at MIT


Announcements

Feb 2025: Adrian delivered a talk about “SURD: A causal inference tool for Scientific Discovery” at the Modeling Talk Series from Google. You can check the video of the presentation here!

Feb 2025: Adrian presented “Causal Inference for Scientific Discovery” at H.B. Keller Colloquium Event Series from Caltech.

Jan 2025: The proceedings of the Stanford Summer Program 2024 at the Center for Turbulence Research are now available.

Jan 2025: Yuenong Ling, Julian Powers and Adrian Anton attended AIAA SCITECH FORUM 2025 in Orlando, FL to present their work on “Numerically Consistent Data-Driven Subgrid-Scale Model via Data Assimilation and Machine Learning”, “Trajectory Optimization for a Battery-less Solar-powered Unmanned Aerial Vehicle“, and “Bow Shockwave Instabilities of the Mars Science Laboratory Using Wall-Modeled Large Eddy Simulation“.

Jan 2025: Check our new paper on “The coherent structure of the energy cascade in isotropic turbulence” published in Scientific Reports.

Dec 2024: Our paper on “Informative and non-informative decomposition of turbulent flow fields” has been published in the Journal of Fluid Mechanics.

Nov 2024: Our paper “Decomposing causality into its synergistic, unique, and redundant components” was featured in Nature Communications as one of the best 50 papers in Applied physics and mathematics!

Nov 2024: Adrian Anton won the APS/DFD Milton van Dyke Poster Award in APS DFD Gallery of Fluid Motion! You can check the poster here. Congratulations!

Nov 2024: Our lab presented multiple talks at the APS DFD 2024 Meeting in Salt Lake City, UT, sharing the latest advancements in our research. You can check here the abstracts for the talks of Gonzalo Arranz, Julian Powers, Yuan Yuan, Adrián Antón, Tristan Villanueva, Brad Roberts, Rong Ma, Álvaro Martínez-Sánchez and Adrián Lozano-Durán.

Nov 2024: Adrian participated in the Workshop on Coherent Structures for Turbulence Modeling, held at Santa Fe, NM, from November 20-21, 2024.

View all announcements here.


Featured Publications

Á. Martínez-Sánchez, G. Arranz, A. Lozano-Duran, Decomposing causality into its synergistic, unique, and redundant components, Nat. Commun. 15, 9296 (2024).

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.