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