activity
20172026
most citedDecomposing causality into its synergistic, unique, and redundant components

73 citations · 155 across the 7 of their papers we have counts for

collaborators

8 papers

nlin.CD2026

Ladder of information limits on prediction for reduced-order models

Adrian Lozano-Duran

What can and cannot be predicted by a model when only limited information is available? We answer this question by constructing a ladder of information limits that organizes predic…

physics.data-an2024★ 73 cited

Decomposing causality into its synergistic, unique, and redundant components

Álvaro Martínez-Sánchez, Gonzalo Arranz, Adrián Lozano-Durán

Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, cu…

physics.flu-dyn2024★ 23 cited

Informative and non-informative decomposition of turbulent flow fields

Gonzalo Arranz, Adrian Lozano-Durán

Not all the information in a turbulent field is relevant for understanding particular regions or variables in the flow. Here, we present a method for decomposing a source field int…

physics.flu-dyn2024

Are the dynamics of wall turbulence in minimal channels and larger domain channels equivalent? A graph-theoretic approach

Ahmed Elnahhas, Emma Lenz, Parviz Moin +2

This work proposes two algorithmic approaches to extract critical dynamical mechanisms in wall-bounded turbulence with minimum human bias. In both approaches, multiple types of coh…

physics.flu-dyn2023★ 1 cited

Information-theoretic causality and applications to turbulence: energy cascade and inner/outer layer interactions

Adrián Lozano-Durán, Gonzalo Arranz, Yuenong Ling

We introduce an information-theoretic method for quantifying causality in chaotic systems. The approach, referred to as IT-causality, quantifies causality by measuring the informat…

physics.flu-dyn2023

Near-Field Wall-Modeled Large-Eddy Simulation of the NASA X-59 Low-Boom Flight Demonstrator

Emily Williams, Gonzalo Arranz, Adrián Lozano-Durán

Wall-modeled large-eddy simulation (WMLES) is utilized to analyze the experimental aircraft X-59 Quiet SuperSonic Technology (QueSST) developed by Lockheed Martin at Skunk Works fo…

physics.flu-dyn2019★ 1 cited

Wall turbulence with constrained energy extraction from mean flow

Adrián Lozano-Durán, Michael Karp, Navid. C. Constantinou

We study the mechanism of energy injection from the mean flow to the fluctuating velocity necessary to maintain wall turbulence. This process is believed to be correctly represente…

physics.flu-dyn2017★ 57 cited

Multiscale analysis of the topological invariants in the logarithmic region of turbulent channels at

Adrián Lozano-Durán, Markus Holzner, Javier Jiménez

The invariants of the velocity gradient tensor, and , and their enstrophy and strain components are studied in the logarithmic layer of an incompressible turbulent channel f…