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Paul K. Romano

Researcher at Argonne National Laboratory

Publications -  69
Citations -  2789

Paul K. Romano is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Monte Carlo method & Neutron transport. The author has an hindex of 14, co-authored 58 publications receiving 1752 citations. Previous affiliations of Paul K. Romano include Massachusetts Institute of Technology.

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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.
Journal ArticleDOI

OpenMC: A state-of-the-art Monte Carlo code for research and development

TL;DR: An overview of OpenMC, an open source Monte Carlo particle transport code recently developed at the Massachusetts Institute of Technology, which uses continuous-energy cross sections and a constructive solid geometry representation, enabling high-fidelity modeling of nuclear reactors and other systems.
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The OpenMC Monte Carlo particle transport code

TL;DR: The present work describes the methods used in the OpenMC code and demonstrates the performance and accuracy of the code on a variety of problems.

The OpenMC Monte Carlo particle transport code

TL;DR: OpenMC as discussed by the authors is a Monte Carlo code for simulation on high-performance computing platforms, which is developed from scratch with a focus on high performance scalable algorithms as well as modern software design practices.
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Development of burnup methods and capabilities in Monte Carlo code RMC

TL;DR: Burnup cases including a PWR pin and a 5 × 5 assembly group are calculated, thereby demonstrating the burnup capabilities of the RMC code and the computational time and memory requirements of RMC are compared with other MC burnup codes.