102 citations · 466 across the 48 of their papers we have counts for
4 papers · 1 filter
-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…
Building high accuracy emulators for scientific simulations with deep neural architecture search
M. F. Kasim, D. Watson-Parris, L. Deaconu +10
Computer simulations are invaluable tools for scientific discovery. However, accurate simulations are often slow to execute, which limits their applicability to extensive parameter…