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Brian C. Kiedrowski

Researcher at University of Michigan

Publications -  109
Citations -  6102

Brian C. Kiedrowski is an academic researcher from University of Michigan. The author has contributed to research in topics: Monte Carlo method & Dynamic Monte Carlo method. The author has an hindex of 19, co-authored 109 publications receiving 4815 citations. Previous affiliations of Brian C. Kiedrowski include University of Wisconsin-Madison & Los Alamos National Laboratory.

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ENDF/B-VII.1 Nuclear Data for Science and Technology: Cross Sections, Covariances, Fission Product Yields and Decay Data

TL;DR: The ENDF/B-VII.1 library as mentioned in this paper is the most widely used data set for nuclear data analysis and has been updated several times over the last five years. But the most recent version of the ENDF-B-VI.0 library is based on the JENDL-4.0 standard.
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ENDF/B-VIII.0: The 8th Major Release of the Nuclear Reaction Data Library with CIELO-project Cross Sections, New Standards and Thermal Scattering Data

David Brown, +69 more
- 01 Feb 2018 - 
TL;DR: The new ENDF/B-VIII.0 evaluated nuclear reaction data library as mentioned in this paper includes improved thermal neutron scattering data and uses new evaluated data from the CIELO project for neutron reactions on 1 H, 16 O, 56 Fe, 235 U, 238 U and 239 Pu described in companion papers.
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Initial MCNP6 Release Overview

TL;DR: High confidence in the MCNP6 code is based on its performance with the verification and validation test suites, comparisons to its predecessor codes, the regression test suite, its code development process, and the underlying high-quality nuclear and atomic databases.
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Adjoint-Weighted Tallies for k-Eigenvalue Calculations with Continuous-Energy Monte Carlo

TL;DR: In this article, a Monte Carlo method is developed that performs adjoint-weighted tallies in continuous energy k-eigenvalue calculations, where each contribution to a tally score is weighted by an estimate of the relativized relativistic value.