2 papers
physics.plasm-ph2020
Fast neural Poincaré maps for toroidal magnetic fields
J. W. Burby, Q. Tang, R. Maulik
Poincaré maps for toroidal magnetic fields are routinely employed to study gross confinement properties in devices built to contain hot plasmas. In most practical applications, eva…
math.PR2018
Entropy-based closure for probabilistic learning on manifolds
C. Soizea, R. Ghanem, C. Safta +7
In a recent paper, the authors proposed a general methodology for probabilistic learning on manifolds. The method was used to generate numerical samples that are statistically cons…