99 citations · 183 across the 7 of their papers we have counts for
7 papers
Promoting global stability in data-driven models of quadratic nonlinear dynamics
Alan A. Kaptanoglu, Jared L. Callaham, Christopher J. Hansen +2
Modeling realistic fluid and plasma flows is computationally intensive, motivating the use of reduced-order models for a variety of scientific and engineering tasks. However, it is…
The structure of global conservation laws in Galerkin plasma models
Alan A. Kaptanoglu, Kyle D. Morgan, Christopher J. Hansen +1
Plasmas are highly nonlinear and multi-scale, motivating a hierarchy of models to understand and describe their behavior. However, there is a scarcity of plasma models of lower fid…
Physics-constrained, low-dimensional models for MHD: First-principles and data-driven approaches
Alan A. Kaptanoglu, Kyle D. Morgan, Chris J. Hansen +1
Plasmas are highly nonlinear and multi-scale, motivating a hierarchy of models to understand and describe their behavior. However, there is a scarcity of plasma models of lower fid…
Advanced modeling for the HIT-SI Experiment
Alan A. Kaptanoglu, Thomas E. Benedett, Kyle D. Morgan +2
A two-temperature magnetohydrodynamic (MHD) model, which evolves the electron and ion temperatures separately, is implemented in the PSI-Tet code and used to model plasma dynamics…
Characterizing Magnetized Plasmas with Dynamic Mode Decomposition
Alan A. Kaptanoglu, Kyle D. Morgan, Chris J. Hansen +1
Accurate and efficient plasma models are essential to understand and control experimental devices. Existing magnetohydrodynamic or kinetic models are nonlinear, computationally int…
Self-organization of solar magnetic fields
T. R. Jarboe, T. E. Benedett, C. J. Everson +6
Self-organization properties of sustained magnetized plasma are applied to selected solar data to understand solar magnetic fields. Torsional oscillations are speed-up and slow-dow…