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Adrián Lozano-Durán

Massachusetts Institute of Technology · US
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Area of research
Computational Mechanics · Environmental Engineering
Research interest
Research focused on Turbulence and Mechanics, with related work in Laminar flow, Aerodynamics, Causality (physics). Notable publications include 'Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning', 'Information-theoretic formulation of dynamical systems: Causality, modeling, and control', and 'Machine learning building-block-flow wall model for large-eddy simulation'.
h-index
citations
362
works
8
NIH funding
primary concept
email

Recent publications

The coherent structure of the energy cascade in isotropic turbulence
Scientific Reports 2025cited by 12position: lastdoi
Machine learning building-block-flow wall model for large-eddy simulation
Journal of Fluid Mechanics 2023cited by 63position: firstdoi
A Database for Reduced-Complexity Modeling of Fluid Flows
AIAA Journal 2023cited by 56position: middledoi
Causality analysis of large-scale structures in the flow around a wall-mounted square cylinder
Journal of Fluid Mechanics 2023cited by 21position: middledoi
Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning
Fluids 2022cited by 83position: middledoi
Information-theoretic formulation of dynamical systems: Causality, modeling, and control
Physical Review Research 2022cited by 71position: firstdoi
Spatial and spectral characteristics of information flux between turbulent boundary layers and porous media
Journal of Fluid Mechanics 2022cited by 21position: middledoi
Information transfer between turbulent boundary layers and porous media
Journal of Fluid Mechanics 2021cited by 35position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 2 papers (2021–2022)Ricardo Vinuesa · University of San Francisco2 papers (2022–2023)Xu Chu · Shanxi Agricultural University2 papers (2021–2022) · 2 papers (2021–2022)Het D. Patel · North Carolina State University1 papers (2023–2023) · 1 papers (2023–2023)Scott T. M. Dawson · Princeton University1 papers (2023–2023)C. Yeh · North Carolina State University1 papers (2023–2023)Gonzalo Arranz · Massachusetts Institute of Technology1 papers (2022–2022)Aadhy Parthasarathy · University of Illinois Urbana-Champaign1 papers (2023–2023)Aaron Towne · California Institute of Technology1 papers (2023–2023)Anya R. Jones · University of California System1 papers (2023–2023)Kunihiko Taira · University of California, Los Angeles1 papers (2023–2023)Guillaume A. Brès · California Institute of Technology1 papers (2023–2023) · 1 papers (2021–2021) · 1 papers (2023–2023) · 1 papers (2022–2022)H. Jane Bae · California Institute of Technology1 papers (2023–2023)Theresa Saxton-Fox · California Institute of Technology1 papers (2023–2023) · 1 papers (2023–2023)
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