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Safeguards Technology Development Program Annual Report of FY 2018

Technical Report ·
DOI:https://doi.org/10.2172/1494040· OSTI ID:1494040
 [1];  [1];  [2];  [2]
  1. Brookhaven National Laboratory (BNL), Upton, NY (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
+ Show Author Affiliations

In this project, Brookhaven National Laboratory (BNL) and Sandia National Laboratories (SNL) are jointly developing deep machine learning algorithms to improve the review process of surveillance data by identifying objects of interest in image-review software. The technique being developed in this project can be used to reduce the burden on International Atomic energy Agency (IAEA) safeguards inspectors during surveillance review.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22)
DOE Contract Number:
SC0012704
OSTI ID:
1494040
Report Number(s):
BNL-211258-2019-INRE
Country of Publication:
United States
Language:
English

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36 MATERIALS SCIENCE