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194 papers · 1 filter
A New Optimization Methodology for Polar Direct Drive Illuminations at the National Ignition Facility
Duncan Barlow, A. Colaïtis, D. Viala +12
A new, efficient, algorithmic approach to create illumination configurations for laser driven high energy density physics experiments is proposed. The method is applied to a polar…
Global Characterization of a Laser-Generated Neutron Source
D. P. Higginson, R. Lelièvre, L. Vassura +17
Laser-driven neutron sources are routinely produced by the interaction of laser-accelerated protons with a converter. They present complementary characteristics to those of convent…
A multifidelity Bayesian optimization method for inertial confinement fusion design
J. Wang, N. Chiang, A. Gillette +1
Due to their cost, experiments for inertial confinement fusion (ICF) heavily rely on numerical simulations to guide design. As simulation technology progresses, so too can the fide…
Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server
Claire Savard, Nicholas Manganelli, Burt Holzman +5
With machine learning applications now spanning a variety of computational tasks, multi-user shared computing facilities are devoting a rapidly increasing proportion of their resou…
Laboratory realization of relativistic pair-plasma beams
C. D. Arrowsmith, P. Simon, P. Bilbao +26
Relativistic electron-positron plasmas are ubiquitous in extreme astrophysical environments such as black holes and neutron star magnetospheres, where accretion-powered jets and pu…
High Absorptivity Nanotextured Powders for Additive Manufacturing
Ottman A. Tertuliano, Philip J. DePond, Andrew C. Lee +8
The widespread application of metal additive manufacturing (AM) is limited by the ability to control the complex interactions between the energy source and the feedstock material.…