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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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!
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What’s the most difficult question you’ve been asked as a maintenance instructor?
Blye Widmar
"Where are the prints?!"
This was the final question in an onslaught of verbal feedback, comments, and critiques I received from my students back in 2019. I had two years of instructor experience and was teaching a class that had been meticulously rehearsed in preparation for an accreditation visit. I knew the training material well and transferred that knowledge effectively enough for all the students to pass the class. As we wrapped up, I asked the students how they felt about my first big system-level class, and they did not hold back.
“Why was the exam from memory when we don’t work from memory in the plant?” “Why didn’t we refer to the vendor documents?” “Why didn’t we practice more on the mock-up?” And so on.
Workshop
Thursday, April 13, 2023|8:30–11:30AM EDT|Hiwassee
This event is presented by the IAEA.
Hosted by MIT and Argonne National Laboratory
A central problem in nuclear engineering is the simulation of the transit of neutron and photon radiation through devices. Several programs have been written over the past few decades to solve this problem in a generalized fashion via the Monte Carlo method, but only one is not centralized and allows anyone to hack the code and distribute it to others: OpenMC.
For this reason, OpenMC is excellent for students. We'll give an overview of getting OpenMC running on your computer, creating input to the program, and analyzing the results. Particularly, we'll look at a reactor criticality problem and a photon shielding problem, and how OpenMC's python interface enables streamlined analysis compared to older Monte Carlo codes.
Location: Hiwassee
Cost: $0
Attendees: 40
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