2024
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.
Nov 2024: Adrian delivered a talk titled “A unified subgrid-scale and wall model for LES trained on building-block flows” at Sandia National Laboratories Seminar (Albuquerque).
Nov 2024: Check our new paper on “Decomposing causality into its synergistic, unique, and redundant components” published in Nature Communications, which has been featured on MIT News and Caltech News.
Oct 2024: Adrian presented his work on "Causality, Reduced-Order Modeling, and Control for Turbulent Flow Using Information Theory" at Stanford Fluid Mechanics Seminar Series.
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.
Jun 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: 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 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.
2023
Oct 2023: Our new pre-print on “Information-theoretic causality and applications to turbulence: energy cascade and inner/outer layer interactions” is out.
Oct 2023: Gonzalo presented his work on “A subgrid scale model for Large-Eddy simulations using Building-Block flows“ at the Aerospace PhD Seminar Series, hosted by University Charles III of Madrid (UC3M). Check the abstract here.
Oct 2023: Adrian received the Early Career Faculty 2023 award from NASA. Congratulations!
Sep 2023: Adrian presented his work on “Machine-learning building-block model for computational fluid dynamics“ at MIT Mathematics. Check the abstract here.
Sep 2023: Rong presented her work on “Machine-learning wall-model large-eddy simulation of turbulent flows over realistic rough surfaces“ at 2nd IACM MMLDE-CSET, hosted by UTEP.
Sep 2023: Welcome Julian and Álvaro to the group!
May 2023: Our new publication on “Machine learning building-block-flow wall model for large-eddy simulation” is out.
May 2023: Our new publication on “A Database for Reduced-Complexity Modeling of Fluid Flows“ is out. Check it out here.
May 2023: Our new pre-prints on “Building-Block-Flow Model for Large-Eddy Simulation: Application to the NASA CRM-HL“ and “Building-Block-Flow Model for Large-Eddy Simulation: Application to the Gaussian Bump“ are out.
Apr 2023: Our new publication on “POD-based study of turbulent plane Poiseuille flow: comparing structure and dynamics between quasi-linear simulations and DNS“ is out. Check it out here.
Apr 2023: Adrian presented his work on “Machine-learning building-block-flow model for large-eddy simulation“ at the workshop hosted by the Isaac Newton Institute. Check the abstract here.
Apr 2023: Adrian presented his work on “New approaches for turbulence research: Information-theoretic formulation of causality, modeling and control“ at GALCIT Special Seminar hosted by Caltech. Check the abstract here.
Mar 2023: Adrian presented his work on “Information-theoretic formulation of chaotic systems“ at applied mathmatics seminars hosted by Harvard SEAS. Check the abstract here.
2022
Nov 2022: Check out our pre-print on “Building-block-flow wall model for large-eddy simulation“, which proposes a wall model for large-eddy simulation (LES) by devising the flow as a collection of building blocks.
Nov 2022: Adrian presented his work on “Building-Block Flow Model for Large-Eddy Simulation“ at the AMS seminar series hosted by NASA's Computational Aerosciences Branch. Check the abstract and the video here.
Sep 2022: Our new publication on information flux between turbulent boundary layers and porous media is out. Check it out here!
Sep 2022: Welcome Rong, Sam and Yuan to the group!
Aug 2022: Check out our promotional video for the Unified class in AeroAstro Department.
July 2022: Adrian gave the invited tutorial at the Stanford CTR Summer Program on “Machine learning for turbulence modeling“.
July 2022: We are attending the Stanford CTR Summer Program with out project “Wall-modeled LES based on information-preserving principles and building-block flows“.
June 2022: Check out our last pre-print on “A Database for Reduced-Complexity Modeling of Fluid Flows“, a collaborative effort to create a publicly accessible database designed to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics.
June 2022: Emily presented her work on “Information-Theoretic Approach for Subgrid-Scale Modeling for High-Speed Compressible Wall Turbulence“ at AIAA Aviation 2022. Check the paper here.
June 2022: Adrian presented his work on a database for “Turbulent boundary layer direct numerical simulations“ at AIAA Aviation 2022.
June 2022: Adrian presented his work on “Self-similar response of non-equilibrium wall turbulence“ at the Lille Turbulence Program 2022. Check out the full program here.
June 2022: Our new publication on Information-theoretic formulation of dynamical systems is out. Check it out here!
May 2022: Congratulations to Emily for being awarded the Vickie Kerrebrock award through the Department of Aeronautics and Astronautics at MIT!
May 2022: Yuenong presented a comparison between interventional and observational causal inference in turbulence at the Causality in Turbulence and Transition conference.
April 2022: Adrian gave a talk through the Mechanical Engineering Seminar Series at Penn State on “A wall model for external aerodynamics based on building-block flows“.
April 2022: Adrian gave a talk through the Numerical Analysis and Scientific Computing Seminar Series at NYU Courant Institute on “Information-theoretic formulation of dynamical systems: causality, modeling & control“.
April 2022: Congratulations to Emily for being awarded the Computational Science Graduate Fellowship (CSGF) from the Department of Energy (DOE)!
Feb 2022: Adrian gave a talk at the Isaac Newton Institute for Mathematical Sciences.
Feb 2022: Adrian gave a talk through the Aerodynamics & Control Seminar Series at Imperial College London.
Jan 2022: Welcome to new UROP Grace Mao!
Jan 2022: Our last paper on the small-scale structure in turbulence is out! Check it out here. Thanks Tess and Beverley for the great work!
Jan 2022: Gonzalo presented on information-theoretic-based control of turbulence at AIAA SciTech! Check out the paper here.
2021
Dec 2021: Congratulations to Adrian for his NSF CAREER Award with the proposal “Information-Theoretic Approach to Turbulence: Causality, Modeling, and Control”!
Nov 2021: Check out our posters for the 2021 APS DFD Gallery of Fluid Motion! (Updated Nov. 26th)
Nov 2021: Check out our last preprint on information theory for chaotic systems and applications to turbulence.
Nov 2021: Check out our new paper on wall-modeled LES for external aerodynamics.
Oct 2021: Congratulations to Emily for receiving the AIAA 20 Twenties award!
Sep 2021: Welcome to new graduate students Yuenong Ling and Emily Williams!
Jun 2021: Welcome to new postdoc Gonzalo Arranz, who joins the group after finishing his PhD at Universidad Carlos III of Madrid!
Jan 2020: Adrian begins his appointment as Assistant Professor!