Announcements

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.

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 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!

July 2023: Our new publication on “Causality analysis of large-scale structures in the flow around a wall-mounted square cylinder” is out.

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.

Dec 2022: Check out our pre-print on “Wall-modeled large-eddy simulation based on building-block flows”. We proposed a unified wall/SGS model for WMLES based on building-block flows!

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“. Check the video presentation here.

July 2022: We are attending the Stanford CTR Summer Program with our 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.

View all announcements here.