ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
IAEA research project to develop hazard detection for edible insects
This week, the International Atomic Energy Agency announced a new coordinated research project (CRP) to improve understanding of the safety of edible insects and other novel foods and to use nuclear and related technologies to assess risks.
Technical Session|Sponsored by MCD
Wednesday, November 18, 2020|2:40–4:20PM EST
Session Chair:
Kathryn D. Huff
Alternate Chair:
Jeffrey A. Favorite
Session Organizer:
Brian C. Kiedrowski
Staff Producer:
Ashley Jiminian (American Nuclear Society)
To access the session recording, you must be logged in and registered for the meeting.
Register NowLog In
To access paper attachments, you must be logged in and registered for the meeting.
Applying Constrained Bayesian Optimization to the Design of Criticality Experiments
Daniel J. Siefman (LLNL), Catherine M. Percher (LLNL), Jesse Norris (LLNL)
Paper
Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
Akshay Dave (Massachusetts Institute of Technology), Jarod Wilson (Massachusetts Institute of Technology), Kaichao Sun (Massachusetts Institute of Technology)
Assembly Combinatorial Optimisation with Deep Reinforcement Learning
Majdi I. Radaideh (University of Illinois Urbana Champaign), Benoit Forget (Massachusetts Institute of Technology), Koroush Shirvan (Massachusetts Institute of Technology)
Analysis of Reactor Simulations with Deep Learning Surrogate Models
Majdi I. Radaideh (University of Illinois Urbana Champaign), Tomasz Kozlowski (University of Illinois)