Welcome to the Aerofluids, Learning & Discovery Lab (ALD Lab). We are part of Galcit at Caltech and AeroAstro at MIT
Announcements
Mar 2025: Adrian delivered a keynote talk about “Building-block flow model: An ML-based general-purpose closure model for LES” at the 3rd Workshop on Data-Driven Fluid Dynamics in Nagoya, Japan.
Mar 2025: Check our new paper on “Machine-learning wall-model large-eddy simulation accounting for isotropic roughness under local equilibrium” published in the Journal of Fluid Mechanics!
Mar 2025: Adrian discussed “Building-block flow model: An ML-based general-purpose closure model for large eddy simulation” at the University of Illinois Urbana-Champaign.
Mar 2025: Our work on “Bow shock instability at hypersonic speed“ was featured by MIT AeroAstro News!
Feb 2025: Adrian presented “Building-block flow model: An ML-based general-purpose closure model for large eddy simulation” at the Oden Institute Seminar at UT Austin.
Feb 2025: Adrian discussed “Synergistic-Unique-Redundant Decomposition of causality” at the SoCal Workshop on Causal Reasoning at UC Irvine.
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.
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.