A Method for Semi-Automated Point Cloud to Watertight Mesh Conversion for Rapid MCNP Input file generation of Indoor Scenes

Christopher Greulich, Mathew Swinney, Daniel E. Archer, Mark S. Bandstra, Marco Salathe, Brian J. Quiter

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish
Pages (from-to)782-785
Number of pages4
JournalTransactions of the American Nuclear Society
Volume127
Issue number1
DOIs
StatePublished - 2022
Event2022 Transactions of the American Nuclear Society Winter Meeting and Technology Expo, ANS 2022 - Phoenix, United States
Duration: Nov 13 2022Nov 17 2022

Funding

This work was performed under the auspices of the US Department of Energy by Lawrence Berkeley National Laboratory under Contract DE-AC02-05CH11231 and Oak Ridge National Laboratory, which is managed and operated by UT-Battelle LLC for the US Department of Energy (DOE) under contract no. DEAC05-00OR22725. The project was funded by the US Department of Energy, National Nuclear Security Administration, Office of Defense Nuclear Nonproliferation Research and Development (DNN R&D).

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