Code and Papers

Code

• PySINDy: A comprehensive Python package for robust sparse system identification

  PySINDy is a sparse regression package with several implementations for the Sparse Identification of Nonlinear Dynamical systems (SINDy) method for the data-driven discovery of governing equations. The newest Journal of Open Science (JOSS) paper can be found here.

• SIMSOPT: A flexible framework for stellarator optimization

  SIMSOPT is a collection of software for carrying out stellarator optimizations (stellarators are a candidate for future nuclear fusion reactors). The newest Journal of Open Science (JOSS) paper can be found here.

Both codes are large collaborative efforts with many other researchers.

Publications and preprints

• Nonlinear parametric models of viscoelastic fluid flows

  C. Oishi, A. Kaptanoglu, J.N. Kutz, S. Brunton. (2023). arXiv:2308.04405.

• Topology optimization for inverse magnetostatics as sparse regression: application to electromagnetic coils for stellarators

  A. Kaptanoglu, G. Langlois, M. Landreman. (2023). arXiv:2306.12555.

• Sparse regression for plasma physics

  A. Kaptanoglu, C. Hansen, J. Lore, M. Landreman, and S. Brunton. Physics of Plasmas (2023). Selected as an Editor’s Suggestion paper.

• Benchmarking sparse system identification with low-dimensional chaos

  A. Kaptanoglu, L. Zhang, Z. Nicolaou, U. Fasel, S. Brunton. (2023). arXiv:2302.10787.

• Time-Dependent SOLPS-ITER Simulations of the Tokamak Plasma Boundary for Model Predictive Control using SINDy

  J. Lore, S. Pascuale, P. Laiu, B. Russo, J.-S. Park, J.M. Park, S. Brunton, J.N. Kutz, A. Kaptanoglu. Nuclear Fusion (2023).

• Greedy permanent magnet optimization

  A. Kaptanoglu, R. Conlin, and M. Landreman. Nuclear Fusion (2023). arXiv:2208.10620. code repository.

• Permanent magnet optimization for stellarators as sparse regression

  A. Kaptanoglu, T. Qian, F. Wechsung, and M. Landreman. Physical Review Applied (2022). Selected as an Editor’s Suggestion paper. arXiv:2207.08984. code repository

• PySINDy: A comprehensive Python package for robust sparse system identification

  A. Kaptanoglu, B. de Silva, U. Fasel, K. Kaheman, A. Goldschmidt, J. Callaham, C. Delahunt, Z. Nicolaou, K. Champion, J.C. Loiseau, and J.N. Kutz. Journal of Open Source Software (2022). code repository

• Exploring data-driven models for spatiotemporally local classification of Alfvén eigenmodes.

  A. Kaptanoglu, A. Jalalvand, A. Garcia, M. Austin, G. Verdoolaege, J. Schneider, C. Hansen, S. Brunton, W. Heidbrink, E. Kolemen. Nuclear Fusion (2022).

• DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy

  M. Fenstermacher, J. Abbate, S. Abe, T. Abrams, …, A. Kaptanoglu, et al. Nuclear Fusion (2022).

• Promoting global stability in data-driven models of quadratic nonlinear dynamics

  A. Kaptanoglu, J. Callaham, A. Aravkin, C. Hansen, and S. Brunton. Phys. Rev. Fluids (2021). Selected as an Editor’s Suggestion paper. PySINDy code repository

• Physics-constrained, low-dimensional models for magnetohydrodynamics: First-principles and data-driven approaches

  A. Kaptanoglu, K. Morgan, C. Hansen, and S. Brunton. Physical Review E (2021). PySINDy code repository and original code repository

• Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks

  A. Jalalvand, A. Kaptanoglu, A. Garcia, A. Nelson, J. Abbate, M. Austin, G. Verdoolaege, S. Brunton, W. Heidbrink, E. Kolemen. Nuclear Fusion (2021).

• Characterizing magnetized plasmas with dynamic mode decomposition

  A. Kaptanoglu, K. Morgan, C. Hansen, and S. Brunton. Physics of Plasmas (2020). arXiv:2102.03024. code repository

• Two-temperature effects in Hall-MHD simulations of the HIT-SI experiment

  A. Kaptanoglu, T. Benedett, K. Morgan, C. Hansen, and T. Jarboe. Physics of Plasmas (2020).

• A comparison of Fourier and POD mode decomposition methods for high-speed Hall thruster video

  J. Brooks, M. McDonald, and A. Kaptanoglu (2021). arXiv:2205.14207.
  code repository

• The structure of global conservation laws in Galerkin plasma models

  A. Kaptanoglu, K. Morgan, C. Hansen, and S. Brunton (2021). arXiv:2101.03436

• [General Audiences] US defense to its workforce: Nuclear war can be won

  A. Kaptanoglu, S. Prager. Bulletin of the Atomic Scientists (2022).

• [General Audiences] Rebuttal: Current nuclear weapons policy not safe or sane

  S. Prager, A. Kaptanoglu. Bulletin of the Atomic Scientists (2022).