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License: https://opensource.org/licenses/BSD-3-Clause
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MC/DC: Monte Carlo Dynamic Code

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 Apr 2025Publisher:CEMeNT
Authors: Center for Exascale Monte Carlo Neutron Transport (CEMeNT); Variansyah, Ilham; Morgan, Joanna Piper; Pasmann, Samuel; Clements, Kayla; Cuneo, Braxton; Mote, Alexander; +11 Authors
Code repository: https://github.com/CEMeNT-PSAAP/MCDC/tree/v0.11.1

doi: 10.5281/zenodo.10576604 , 10.5281/zenodo.15358661

MC/DC: Monte Carlo Dynamic Code

Abstract

MC/DC is a performant, scalable, and machine-portable Python-based Monte Carlo neutron transport software currently developed in the Center for Exascale Monte Carlo Neutron Transport (CEMeNT).

A pure python high performance Monte Carlo neutronics package for HPC with CPUs and GPUs

Related Organizations
Keywords

radiation transport, monte carlo, gpu, neutron transport, numba

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average