Discovering causal relations and equations from data
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …
questions about why natural phenomena occur and to make testable models that explain the …
Data-driven modeling for unsteady aerodynamics and aeroelasticity
Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …
addition to experiment and numerical simulation, due to its low-dimensional representation …
Convolutional-network models to predict wall-bounded turbulence from wall quantities
Two models based on convolutional neural networks are trained to predict the two-
dimensional instantaneous velocity-fluctuation fields at different wall-normal locations in a …
dimensional instantaneous velocity-fluctuation fields at different wall-normal locations in a …
Machine learning building-block-flow wall model for large-eddy simulation
A Lozano-Durán, HJ Bae - Journal of Fluid Mechanics, 2023 - cambridge.org
A wall model for large-eddy simulation (LES) is proposed by devising the flow as a
combination of building blocks. The core assumption of the model is that a finite set of simple …
combination of building blocks. The core assumption of the model is that a finite set of simple …
Information-theoretic formulation of dynamical systems: causality, modeling, and control
A Lozano-Durán, G Arranz - Physical Review Research, 2022 - APS
The problems of causality, modeling, and control for chaotic, high-dimensional dynamical
systems are formulated in the language of information theory. The central quantity of interest …
systems are formulated in the language of information theory. The central quantity of interest …
A database for reduced-complexity modeling of fluid flows
We present a publicly accessible database specifically designed to aid in the conception,
training, demonstration, evaluation, and comparison of reduced-complexity models for fluid …
training, demonstration, evaluation, and comparison of reduced-complexity models for fluid …
Progress in physical modeling of compressible wall-bounded turbulent flows
Understanding, modeling and control of the high-speed wall-bounded transition and
turbulence not only receive wide academic interests but also are vitally important for high …
turbulence not only receive wide academic interests but also are vitally important for high …
Large-eddy simulation, convective instability, and modal causality of coaxial supersonic air–water jets considering a swirl effect
An annular liquid sheet sheared by a coaxial supersonic gas stream with a swirling effect is
investigated using Large Eddy Simulation. Despite its wide applications in aerospace and …
investigated using Large Eddy Simulation. Despite its wide applications in aerospace and …
Non-equilibrium three-dimensional boundary layers at moderate Reynolds numbers
Non-equilibrium wall turbulence with mean-flow three-dimensionality is ubiquitous in
geophysical and engineering flows. Under these conditions, turbulence may experience a …
geophysical and engineering flows. Under these conditions, turbulence may experience a …
Cause-and-effect of linear mechanisms sustaining wall turbulence
A Lozano-Durán, NC Constantinou… - Journal of Fluid …, 2021 - cambridge.org
Despite the nonlinear nature of turbulence, there is evidence that part of the energy-transfer
mechanisms sustaining wall turbulence can be ascribed to linear processes. The different …
mechanisms sustaining wall turbulence can be ascribed to linear processes. The different …