17 citations · 52 across the 14 of their papers we have counts for
18 papers
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…
The inherent goodness of well educated intelligence
Michael E. Glinsky
This paper will examine what makes a being intelligent, whether that be a biological being or an artificial silicon being on a computer. Special attention will be paid to the being…
A new economic and financial theory of money
Michael E. Glinsky, Sharon Sievert
This paper fundamentally reformulates economic and financial theory to include electronic currencies. The valuation of the electronic currencies will be based on macroeconomic theo…
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…
Noise-resilient approach for deep tomographic imaging
Zhen Guo, Zhiguang Liu, Qihang Zhang +2
We propose a noise-resilient deep reconstruction algorithm for X-ray tomography. Our approach shows strong noise resilience without obtaining noisy training examples. The advantage…
Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing
Francis Ogoke, Kyle Johnson, Michael Glinsky +3
Laser Powder Bed Fusion has become a widely adopted method for metal Additive Manufacturing (AM) due to its ability to mass produce complex parts with increased local control. Howe…
Physics-assisted Generative Adversarial Network for X-Ray Tomography
Zhen Guo, Jung Ki Song, George Barbastathis +5
X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, materials science, electronic inspection…
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography
Zhen Guo, Jung Ki Song, George Barbastathis +5
Limited-angle X-ray tomography reconstruction is an ill-conditioned inverse problem in general. Especially when the projection angles are limited and the measurements are taken in…
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…
Helicity in Hamiltonian dynamical systems
Michael E. Glinsky, Poul G. Hjorth
Helicity plays a unique role as an integral invariant of a dynamical system. In this paper, the concept of helicity in the general setting of Hamiltonian dynamics is discussed. It…
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, an…
Wave kinetic equation in a nonstationary and inhomogeneous medium with a weak quadratic nonlinearity
D. E. Ruiz, M. E. Glinsky, I. Y. Dodin
We present a systematic derivation of the wave kinetic equation describing the dynamics of a statistically inhomogeneous incoherent wave field in a medium with a weak quadratic non…
A novel workflow for seismic net pay estimation with uncertainty
Michael E. Glinsky, Dale Baptiste, Muhlis Unaldi +1
This paper presents a novel workflow for seismic net pay estimation with uncertainty. It is demonstrated on the Cassra/Iris Field. The theory for the stochastic wavelet derivation…
Focal mechanism estimation by classification
Ben G. Lasscock, Brendon J. Hall, Michael E. Glinsky
A classification technique for identifying focal mechanism type and fault plane orientation based on the polarity of P-wave "first motion" data is derived. A support vector machine…
Turbidity current flow over an obstacle and phases of sediment wave generation
Moshe Strauss, Michael E. Glinsky
We study the flow of particle-laden turbidity currents down a slope and over an obstacle. A high-resolution 2D computer simulation model is used, based on the Navier-Stokes equatio…
A new perspective on renormalization: the scattering transformation
Michael E. Glinsky
The scattering transformation developed by Mallat is put into the perspective of field theory. It is shown to be a simultaneous transformation of the field and the "time" parameter…