| 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 | 144 | 2021 |
| 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 | 87 | 2021 |
| 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 | 83 | 2021 |
| Characterizing magnetized plasmas with dynamic mode decomposition AA Kaptanoglu, KD Morgan, CJ Hansen, SL Brunton Physics of Plasmas 27 (3), 2020 | 58 | 2020 |
| 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 | 24 | 2022 |
| 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 | 22 | 2021 |
| 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 | 19 | 2023 |
| 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 | 15 | 2023 |
| Permanent-magnet optimization for stellarators as sparse regression AA Kaptanoglu, T Qian, F Wechsung, M Landreman Physical Review Applied 18 (4), 044006, 2022 | 14 | 2022 |
| 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 | 11 | 2022 |
| 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 | 11 | 2020 |
| Sparse regression for plasma physics AA Kaptanoglu, C Hansen, JD Lore, M Landreman, SL Brunton Physics of Plasmas 30 (3), 2023 | 8 | 2023 |
| Greedy permanent magnet optimization AA Kaptanoglu, R Conlin, M Landreman Nuclear Fusion 63 (3), 036016, 2023 | 7 | 2023 |
| 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 | 4 | 2022 |
| The structure of global conservation laws in Galerkin plasma models AA Kaptanoglu, KD Morgan, CJ Hansen, SL Brunton arXiv preprint arXiv:2101.03436, 2021 | 4 | 2021 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| Nonlinear parametric models of viscoelastic fluid flows CM Oishi, AA Kaptanoglu, JN Kutz, SL Brunton arXiv preprint arXiv:2308.04405, 2023 | 2 | 2023 |
| Improved stellarator permanent magnet designs through combined discrete and continuous optimizations KC Hammond, AA Kaptanoglu Computer Physics Communications 299, 109127, 2024 | 1 | 2024 |
| An Exploration of Data-Driven System Identification and Machine Learning for Plasma Physics A Kaptanoglu University of Washington, 2021 | 1 | 2021 |
Steven L. BruntonProfessor, University of Washington在 uw.edu 的电子邮件经过验证
