Folgen
Jared Callaham
Titel
Zitiert von
Zitiert von
Jahr
Robust flow reconstruction from limited measurements via sparse representation
JL Callaham, K Maeda, SL Brunton
Physical Review Fluids 4 (10), 103907, 2019
1262019
PySINDy: A comprehensive Python package for robust sparse system identification
AA Kaptanoglu, BM de Silva, U Fasel, K Kaheman, AJ Goldschmidt, ...
arXiv preprint arXiv:2111.08481, 2021
1162021
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
742021
Nonlinear stochastic modeling with Langevin regression
JL Callaham, JC Loiseau, G Rigas, SL Brunton
Proceedings of the Royal Society A 477 (2250), 2021
702021
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
672021
On the role of nonlinear correlations in reduced-order modelling
JL Callaham, SL Brunton, JC Loiseau
Journal of Fluid Mechanics 938, A1, 2022
412022
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
312022
Physics-informed machine learning for sensor fault detection with flight test data
BM de Silva, J Callaham, J Jonker, N Goebel, J Klemisch, D McDonald, ...
arXiv preprint arXiv:2006.13380, 2020
282020
Dimensionally consistent learning with buckingham pi
J Bakarji, J Callaham, SL Brunton, JN Kutz
Nature Computational Science 2 (12), 834-844, 2022
272022
Population annealing simulations of a binary hard-sphere mixture
J Callaham, J Machta
Physical Review E 95 (6), 063315, 2017
192017
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
92021
Machine Learning to Discover Interpretable Models in Fluids and Plasmas
A Kaptanoglu, J Callaham, C Hansen, S Brunton
APS March Meeting Abstracts 2022, S49. 002, 2022
42022
Robust reconstruction of flow fields from limited measurements
J Callaham, K Maeda, S Brunton
Bulletin of the American Physical Society 63, 2018
42018
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
32021
Multiscale model reduction for incompressible flows
JL Callaham, JC Loiseau, SL Brunton
Journal of Fluid Mechanics 973, A3, 2023
22023
Sparse sensing by arrays of wing mechanosensors for insect flight control
TL Mohren, J Callaham, BD Pratt, BW Brunton, TL Daniel
INTEGRATIVE AND COMPARATIVE BIOLOGY 57, E352-E352, 2017
12017
HydroGym: A Reinforcement Learning Control Framework for Fluid Dynamics
L Paehler, J Callaham, S Ahnert, N Adams, S Brunton
Bulletin of the American Physical Society, 2023
2023
An open-source fluid-structure interaction code for anyone and everyone
N OBrien, A Machado Burgos, S Balasubramanian, J Callaham, A Goza
Bulletin of the American Physical Society, 2022
2022
Network-based feedback control of Fluid Flows
K Taira, S Brunton, C Shih, A Nair, CA Yeh, Z Bai, J Callaham
2022
Multiscale model reduction for unsteady fluid flow
J Callaham
University of Washington, 2022
2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20