Presentations

Conference talks and meeting abstracts. Slides linked where available.

1. Visualizing stellarator objective functions

   B Jang, and M Landreman

   APS Division of Plasma Physics, CO06.008 (2024)

   slides

2. How does magnetic geometry affect plasma turbulence? A machine learning approach

   M Landreman, I Abel, G Abreu, R Conlin, G Hammett, S Hurwitz, B Jang, et al.

   Bulletin of the American Physical Society (2024)

3. Data-driven pseudo-spectral closures of the moment hierarchy for Vlasov–Poisson turbulence using machine learning

   N Barbour, R Gaur, B Jang, N Mandell, M McGrae-Menge, J Pierce, et al.

   APS Division of Plasma Physics, GP12.060 (2024)

4. Spatio-temporal forecasting of plasma turbulence using deep learning

   R Gaur, V Gopakumar, N Barbour, B Jang, N Mandell, I Abel, W Dorland, et al.

   APS Division of Plasma Physics, JO09.015 (2023)

5. Exploring pseudospectral reduced models of plasma dynamics using machine learning

   N Barbour, R Gaur, B Jang, N Mandell, M McGrae-Menge, J Pierce, et al.

   APS Division of Plasma Physics, UP11.095 (2023)