Welcome to the Aerofluids, Learning & Discovery Lab (ALD Lab)
We are part of the Aerospace Department at Caltech and AeroAstro at MIT
Building-block flows: a modular approach to turbulence modeling
Building-block-flow computational model for large-eddy simulation of external aerodynamic applications, Commun. Eng. 3, 127 (2024).
February 2, 2026
Announcements
Jun 2026: Congratulations to Álvaro for being awarded as a Rafael del Pino Excellence Fellow 2026!
May 2026: Our new pre-print on “Bow-shock instability in entry, descent, and landing vehicles under high-enthalpy conditions“ is out.
May 2026: Check our new paper about “Spatio-temporal causal analysis of very largescale motions in wall-bounded turbulence“.
May 2026: Adrian gave a talk on "Turbulent flow analysis based on information" at the Online Turbulence Seminar, Simons Foundation. Check the video here!
May 2026: Adrián was featured in a California Institute of Technology interview about modeling aerodynamics. Check it here!
Apr 2026: Rong Ma received an award at the AIAA New England Honors and Awards Ceremony 2026. Congratulations!
Apr 2026: Our new pre-print on “Unified scaling laws for turbulent boundary layers across flow regimes” is out!
Apr 2026: Check our new pre-print on “HYMOR: An open-source package for modal, non-modal, and receptivity analysis in high-enthalpy hypersonic vehicles”.
Mar 2026: Our paper on “Cause-and-effect approach to turbulence forecasting” has been published in the International Journal of Numerical Methods for Heat & Fluid Flow. Check it here!
Mar 2026: Adrian gave a keynote about “Causal inference for scientific discovery in fluid dynamics” at the 3rd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics. You can check the slides here.
View all announcements here
Featured Publications
Y. Yuan and A. Lozano-Duran, Dimensionless learning based on information, Nat. Commun. 16, 9171 (2025).
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.
View all publications here.