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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
Nuclear and Emerging Technologies for Space (NETS 2023)
May 7–11, 2023
Idaho Falls, ID|Snake River Event Center
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Mar 2023
Jan 2023
Latest Journal Issues
Nuclear Science and Engineering
May 2023
Nuclear Technology
April 2023
Fusion Science and Technology
February 2023
Latest News
Wanted: Information leading to a neutron source for fusion energy R&D
The Department of Energy’s Office of Science published a notice in the March 27 Federal Register calling for input on technological approaches to a Fusion Prototypic Neutron Source (FPNS) for materials irradiation research under DOE-SC’s Fusion Energy Sciences program, as well as partnership models that could accelerate the construction and delivery of the facility. The request for information (RFI) calls for responses by May 11.
Technical Session
Tuesday, October 5, 2021|10:40AM–12:20PM EDT
Session Chair:
Joshua Hykes (Studsvik Scandpower)
Session Organizers:
Benoit Forget (MIT)
William Wieselquist (ORNL)
Student Producer:
Joe Coale (NC State Univ.)
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Physics-Informed Deep Learning Neural Network Solution to the Neutron Diffusion Model
10:40–11:05AM EDT
Mohamed H. Elhareef (Virginia Commonwealth Univ.), Zeyun Wu (Virginia Commonwealth Univ.), Yu Ma (Sun Yat-sen Univ.)
Summary
Improving Whole-Core Calculations by Bayesian Inference From Single-Assembly Measured Reactivity Weights
11:05–11:30AM EDT
P.-L. Alzieu (CEA), G. Truchet (CEA), J. Tommasi (CEA)
Investigation Into the Use of Machine Learning Assisted Prediction of Nodal Parameters for Reduced Order Neutronic Simulation Models
11:30–11:55AM EDT
Madhumitha Ravichandran (MIT), Cole A. Gentry (ORNL), Matteo Bucci (MIT)
Presentation Video — Presentation Video
Improved Rational Approximation for Spatially-Dependent Resonance Self-Shielding in CASMO5
11:55AM–12:20PM EDT
Rodolfo Ferrer (Studsvik Scandpower), Joshua Hykes (Studsvik Scandpower)
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