17 citations · 52 across the 14 of their papers we have counts for
5 papers · 1 filter
High Gain Fusion Target Design using Generative Artificial Intelligence
Michael E. Glinsky
By returning to the topological basics of fusion target design, Generative Artificial Intelligence (genAI) is used to specify how to initially configure and drive the optimally ent…
A coordinate-free expression of plasma theory
Michael E. Glinsky
The theory of plasmas, that is collectives of charged particles, is developed using the coordinate-free and geometric methods of exterior calculus. This dramatically simplifies the…
A transformational approach to collective behavior
Michael E. Glinsky
This paper presents a revolutionary approach to the characterization, forecast, and control of collective systems. Collective systems are an ensemble of conservatively interacting…
Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics
Michael E. Glinsky, Kathryn Maupin
A Machine and Deep Learning methodology is developed and applied to give a high fidelity, fast surrogate for 2D resistive MHD simulations of MagLIF implosions. The resistive MHD co…
Quantification of MagLIF morphology using the Mallat Scattering Transformation
Michael E. Glinsky, Thomas W. Moore, William E. Lewis +7
The morphology of the stagnated plasma resulting from Magnetized Liner Inertial Fusion (MagLIF) is measured by imaging the self-emission x-rays coming from the multi-keV plasma. Eq…