4 citations · 5 across the 3 of their papers we have counts for
9 papers
Learning the exchange-correlation functional from nature with fully differentiable density functional theory
Muhammad F. Kasim, Sam M. Vinko
Improving the predictive capability of molecular properties in ab initio simulations is essential for advanced material discovery. Despite recent progress making use of machine lea…
-torch: differentiable scientific computing library
Muhammad F. Kasim, Sam M. Vinko
Physics-informed learning has shown to have a better generalization than learning without physical priors. However, training physics-informed deep neural networks requires some asp…
Volumetric heating of nanowire arrays to keV temperatures using kilojoule-scale petawatt laser interactions
M. P. Hill, O. Humphries, R. Royle +19
We present picosecond-resolution streaked K-shell spectra from 400 nm-diameter nickel nanowire arrays, demonstrating the ability to generate large volumes of high energy density pl…
Time-resolved XUV Opacity Measurements of Warm-Dense Aluminium
S. M. Vinko, V. Vozda, J. Andreasson +20
The free-free opacity in plasmas is fundamental to our understanding of energy transport in stellar interiors and for inertial confinement fusion research. However, theoretical pre…
Retrieving fields from proton radiography without source profiles
M. F. Kasim, A. F. A. Bott, P. Tzeferacos +3
Proton radiography is a technique in high energy density science to diagnose magnetic and/or electric fields in a plasma by firing a proton beam and detecting its modulated intensi…
Ab-initio simulations and measurements of the free-free opacity in Aluminum
P. Hollebon, O. Ciricosta, M. P. Desjarlais +6
The free-free opacity in dense systems is a property that both tests our fundamental understanding of correlated many-body systems, and is needed to understand the radiative proper…