15th International Conference on Nuclear Data for Science and Technology (ND2022)

US/Pacific
SAFE Credit Union Convention Center

SAFE Credit Union Convention Center

1400 J St, Sacramento, CA 95814
C.M. Mattoon (LLNL) , I. Thompson (Lawrence Livermore National Laboratory) , J. Escher (LLNL) , R. Vogt (Lawrence Livermore National Laboratory)
Description

ND2022 is the latest in a series of conferences held every three years since 1978, most recently in Bruges, Belgium (ND2016) and Beijing, China (ND2019). This conference brings together international experts involved in generating and using nuclear data for a week of presentations and in-depth discussion.

ND2022 is being organized by Lawrence Livermore National Laboratory and will be held July 24-29, 2022 in Sacramento, California.

While the Covid19 pandemic continues to disrupt our lives and restrict international travel in the near future, we remain optimistic that public health measures and vaccination will continue to lower case rates and allow for an in-person ND2022 conference next summer. We continue to monitor the Covid situation and will update the community if the status of ND2022 changes.

Registration for ND2022 is now open! We invite everyone interested in attending to start by completing the Registration and to submit one or more Abstracts using the links to the left. Abstract submission will remain open through September 2021, and authors will be notified of abstract acceptance in early 2022.

Conference topics include:

  • Nuclear reaction measurements,
  • Nuclear mass, structure and decay measurements,
  • Theoretical nuclear physics,
  • Special focus on fission including theory, measurements and modeling,
  • Development of new experimental capabilities and facilities,
  • Generating, improving and validating evaluated nuclear data libraries,
  • Processing nuclear data to prepare evaluated libraries for use in application codes,
  • Improving data formats, tools and quality assurance,
  • Uncertainty quantification and covariances,
  • Applying machine learning to the nuclear data pipeline, and
  • Applications of nuclear data to fields ranging from reactor design to medical isotope production to nuclear non-proliferation to space exploration and stellar nucleosynthesis.
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Registration
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ND2022 Organizers
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