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Alan Ali Kaptanoglu
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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
1202021
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
Physics-constrained, low-dimensional models for magnetohydrodynamics: First-principles and data-driven approaches
AA Kaptanoglu, KD Morgan, CJ Hansen, SL Brunton
Physical Review E 104 (1), 015206, 2021
742021
Characterizing magnetized plasmas with dynamic mode decomposition
AA Kaptanoglu, KD Morgan, CJ Hansen, SL Brunton
Physics of Plasmas 27 (3), 2020
542020
DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ...
Nuclear Fusion 62 (4), 042024, 2022
192022
Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks
A Jalalvand, AA Kaptanoglu, AV Garcia, AO Nelson, J Abbate, ME Austin, ...
Nuclear Fusion 62 (2), 026007, 2021
172021
Permanent-magnet optimization for stellarators as sparse regression
AA Kaptanoglu, T Qian, F Wechsung, M Landreman
Physical Review Applied 18 (4), 044006, 2022
132022
Benchmarking sparse system identification with low-dimensional chaos
AA Kaptanoglu, L Zhang, ZG Nicolaou, U Fasel, SL Brunton
Nonlinear Dynamics 111 (14), 13143-13164, 2023
122023
Two-temperature effects in Hall-MHD simulations of the HIT-SI experiment
AA Kaptanoglu, TE Benedett, KD Morgan, CJ Hansen, TR Jarboe
Physics of Plasmas 27 (7), 2020
112020
Time-dependent SOLPS-ITER simulations of the tokamak plasma boundary for model predictive control using SINDy
JD Lore, S De Pascuale, P Laiu, B Russo, JS Park, JM Park, SL Brunton, ...
Nuclear Fusion 63 (4), 046015, 2023
92023
Sparse regression for plasma physics
AA Kaptanoglu, C Hansen, JD Lore, M Landreman, SL Brunton
Physics of Plasmas 30 (3), 2023
82023
Exploring data-driven models for spatiotemporally local classification of Alfvén eigenmodes
AA Kaptanoglu, A Jalalvand, AV Garcia, ME Austin, G Verdoolaege, ...
Nuclear Fusion 62 (10), 106014, 2022
82022
Greedy permanent magnet optimization
AA Kaptanoglu, R Conlin, M Landreman
Nuclear Fusion 63 (3), 036016, 2023
62023
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
The structure of global conservation laws in Galerkin plasma models
AA Kaptanoglu, KD Morgan, CJ Hansen, SL Brunton
arXiv preprint arXiv:2101.03436, 2021
42021
A comparison of Fourier and pod mode decomposition methods for high-speed hall thruster video
JW Brooks, AA Kaptanoglu, MS McDonald
Frontiers in Space Technologies 4, 1220011, 2023
22023
Improved stellarator permanent magnet designs through combined discrete and continuous optimizations
KC Hammond, AA Kaptanoglu
Computer Physics Communications, 109127, 2024
12024
Topology optimization for inverse magnetostatics as sparse regression: Application to electromagnetic coils for stellarators
AA Kaptanoglu, GP Langlois, M Landreman
Computer Methods in Applied Mechanics and Engineering 418, 116504, 2024
12024
Nonlinear parametric models of viscoelastic fluid flows
CM Oishi, AA Kaptanoglu, JN Kutz, SL Brunton
arXiv preprint arXiv:2308.04405, 2023
12023
An Exploration of Data-Driven System Identification and Machine Learning for Plasma Physics
A Kaptanoglu
University of Washington, 2021
12021
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Articles 1–20