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SUMMARY:15th International Conference on Nuclear Data for Science and Tech
 nology (ND2022)
DTSTART:20220721T130000Z
DTEND:20220730T010000Z
DTSTAMP:20260420T153900Z
UID:indico-event-52@indico.frib.msu.edu
CONTACT:nd2022@llnl.gov
DESCRIPTION:Speakers: Ian Thompson\, Jutta Escher\, Remco Zegers (MSU)\, R
 amona Vogt\, Caleb M  Mattoon\n\nND2022 is the latest in a series of con
 ferences held every three years since 1978\, most recently in Bruges\, Bel
 gium (ND2016) and Beijing\, China (ND2019). This conference brings togeth
 er international experts involved in generating and using nuclear data for
  a week of presentations and in-depth discussion.\n\nND2022 is being orga
 nized by Lawrence Livermore National Laboratory. The conference was planne
 d for July 24-29\, 2022 in Sacramento\, California\, but due to ongoing u
 ncertainty related to the Covid19 pandemic it has been converted to a virt
 ual event.\n\nThanks all who submitted abstracts!  Abstract submission ha
 s closed\, but registration for ND2022 is still open! We invite everyone 
 interested in attending to complete the registration. Presenters are also
  invited to review the Timetable and Contribution List using links to the
  left to check the time of their contribution(s).\n\nFor participants cur
 rently attending the meeting\, we have put together a list of frequently 
 asked questions that may be helpful in case you are running into problems
 .\n\nConference topics include:\n\n\n	Nuclear reaction measurements\,\n	Nu
 clear mass\, structure and decay measurements\,\n	Theoretical nuclear phys
 ics\,\n	Special focus on fission including theory\, measurements and model
 ing\,\n	Development of new experimental capabilities and facilities\,\n	Ge
 nerating\, improving and validating evaluated nuclear data libraries\,\n	P
 rocessing nuclear data to prepare evaluated libraries for use in applicati
 on codes\,\n	Improving data formats\, tools and quality assurance\,\n	Unce
 rtainty quantification and covariances\,\n	Applying machine learning to th
 e nuclear data pipeline\, and\n	Applications of nuclear data to fields ran
 ging from reactor design to medical isotope production to nuclear non-prol
 iferation to space exploration and stellar nucleosynthesis\n\n\nhttps://in
 dico.frib.msu.edu/event/52/
IMAGE;VALUE=URI:https://indico.frib.msu.edu/event/52/logo-2670089020.png
LOCATION:Gather.Town
URL:https://indico.frib.msu.edu/event/52/
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