15 citations · 24 across the 5 of their papers we have counts for
5 papers
The Equations of Reduced Magnetohydrodynamics in Dipole Coordinates
Ian M. DesJardin, Christopher Bard, Natalia Y. Buzulukova +1
The equations of reduced magnetohydrodynamics (RMHD) isolate the Alfvénic energy transfer and turbulence dynamics from MHD in a computationally tractable way. In this study, we der…
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory
John C. Dorelli, Chris Bard, Thomas Y. Chen +11
Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models. Modern deep learning technology is begi…
A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training
Marcus Münzer, Chris Bard
Physics-informed Neural Networks (PINNs) often have, in their loss functions, terms based on physical equations and derivatives. In order to evaluate these terms, the output soluti…
On the role of system size in Hall MHD magnetic reconnection
C. Bard, J. C. Dorelli
We study the effects of the Hall electric field on magnetic island coalescence in the large island limit and find evidence for both a elongated electron current sheet layer with a…
Effect of a magnetic field on massive star winds I: mass-loss and velocity for a dipole field
Christopher Bard, Richard H. D. Townsend
We generalize the Rigid-Field Hydrodynamic equations to accommodate arbitrary magnetic field topologies, resulting in a new Arbitrary Rigid-Field hydrodynamic (ARFHD) formalism. We…