Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ridley Gavin"'
Publikováno v:
EPJ Web of Conferences, Vol 302, p 07015 (2024)
For decades, the probability table technique has been used to model the behavior of neutron cross sections in the unresolved resonance region with a stochastic approach. Early work from Hwang hinted at the possibility of a universal probability distr
Externí odkaz:
https://doaj.org/article/67704f7fe89948c08fa88ff29dcc92a8
Publikováno v:
EPJ Web of Conferences, Vol 302, p 11006 (2024)
Any Monte Carlo transport code can produce 2D slice plots of geometric inputs using sampling of cell or material identifiers at each pixels’ point in space; ray-traced 3D plots of simulation geometries are generally less available or require paid o
Externí odkaz:
https://doaj.org/article/923ed9fa499d4c6a91f9e7a1e55689d5
Autor:
Tramm John, Romano Paul, Shriwise Patrick, Lund Amanda, Doerfert Johannes, Steinbrecher Patrick, Siegel Andrew, Ridley Gavin
Publikováno v:
EPJ Web of Conferences, Vol 302, p 04010 (2024)
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model. We examine the performance of OpenMC at scale on the Frontier, Polaris, and Aurora supercompute
Externí odkaz:
https://doaj.org/article/dabf883003254591b2944bd7b25f4ee5
Autor:
Wainwright, Haruko M., Christiaen, Chloe, Atz, Milos, Tchakerian, John Sebastian, Yu, Jiankai, Ridley, Gavin Keith, Shirvan, Koroush
This study presents a cross-disciplinary reactor-to-repository framework to compare different advanced reactors with respect to their spent nuclear fuel (SNF). The framework consists of (1) OpenMC for simulating neutronics, fuel depletion, and radioa
Externí odkaz:
http://arxiv.org/abs/2405.12805
Autor:
Tramm, John, Romano, Paul, Shriwise, Patrick, Lund, Amanda, Doerfert, Johannes, Steinbrecher, Patrick, Siegel, Andrew, Ridley, Gavin
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model. We examine the performance of OpenMC at scale on the Frontier, Polaris, and Aurora supercompute
Externí odkaz:
http://arxiv.org/abs/2403.12345
Autor:
Morgan, Joanna Piper, Mote, Alexander, Pasmann, Samuel Lee, Ridley, Gavin, Palmer, Todd, Niemeyer, Kyle E., McClarren, Ryan
The Monte Carlo Computational Summit was held on the campus of the University of Notre Dame in South Bend, Indiana, USA on 25--26 October 2023. The goals of the summit were to discuss algorithmic and software alterations required for successfully por
Externí odkaz:
http://arxiv.org/abs/2402.08161
A new method for directly sampling the neutron resonance upscattering effect is presented. Alternatives have relied on inefficient rejection sampling techniques or large tabular storage of relative velocities. None of these approaches, which require
Externí odkaz:
http://arxiv.org/abs/2303.08196
Autor:
Ridley, Gavin
The advent of graphics processing units (GPUs) has brought computing to new heights with deep learning models, now deployed ubiquitously and touching the lives of many. While GPU hardware may be ideal for deep learning, its full potential in various
Externí odkaz:
https://hdl.handle.net/1721.1/157192
Autor:
Wainwright, Haruko M., Christiaen, Chloe, Atz, Milos, Tchakerian, John Sebastian, Yu, Jiankai, Ridley, Gavin Keith, Shirvan, Koroush
Publikováno v:
Scientific Reports; 11/6/2024, Vol. 14 Issue 1, p1-15, 15p
Publikováno v:
Nuclear Science & Engineering. Mar2024, Vol. 198 Issue 3, p702-726. 25p.