Articles with public access mandates - Jared CallahamLearn more
Available somewhere: 11
Robust flow reconstruction from limited measurements via sparse representation
JL Callaham, K Maeda, SL Brunton
Physical Review Fluids 4 (10), 103907, 2019
Mandates: US Department of Defense, US National Oceanic and Atmospheric Administration …
Promoting global stability in data-driven models of quadratic nonlinear dynamics
AA Kaptanoglu, JL Callaham, A Aravkin, CJ Hansen, SL Brunton
Physical Review Fluids 6 (9), 094401, 2021
Mandates: US Department of Defense
Nonlinear stochastic modeling with Langevin regression
JL Callaham, JC Loiseau, G Rigas, SL Brunton
Proceedings of the Royal Society A 477 (2250), 2021
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research Council
Learning dominant physical processes with data-driven balance models
JL Callaham, JV Koch, BW Brunton, JN Kutz, SL Brunton
Nature communications 12 (1), 1016, 2021
Mandates: US Department of Defense
On the role of nonlinear correlations in reduced-order modelling
JL Callaham, SL Brunton, JC Loiseau
Journal of Fluid Mechanics 938, A1, 2022
Mandates: US Department of Defense
Dimensionally consistent learning with buckingham pi
J Bakarji, J Callaham, SL Brunton, JN Kutz
Nature Computational Science 2 (12), 834-844, 2022
Mandates: US National Science Foundation, US Department of Defense
An empirical mean-field model of symmetry-breaking in a turbulent wake
JL Callaham, G Rigas, JC Loiseau, SL Brunton
Science Advances 8 (19), eabm4786, 2022
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research Council
Population annealing simulations of a binary hard-sphere mixture
J Callaham, J Machta
Physical Review E 95 (6), 063315, 2017
Mandates: US National Science Foundation
Hybrid Learning Approach to Sensor Fault Detection with Flight Test Data
BM de Silva, J Callaham, J Jonker, N Goebel, J Klemisch, D McDonald, ...
AIAA Journal 59 (9), 3490-3503, 2021
Mandates: US Department of Defense
Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression
J Snyder, JL Callaham, SL Brunton, JN Kutz
Physica D: Nonlinear Phenomena 427, 133004, 2021
Mandates: US Department of Defense
Multiscale model reduction for incompressible flows
JL Callaham, JC Loiseau, SL Brunton
Journal of Fluid Mechanics 973, A3, 2023
Mandates: US National Science Foundation, US Department of Defense
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