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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.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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“Life is a roller coaster. It’s best ridden with your hands in the air.”
Craig Piercycpiercy@ans.org
I find myself saying the expression above a lot these days—to my kids, my wife, my friends, and colleagues. Most recently, I said it to the person sitting next to me after the pilot of our plane—bound for Reagan National Airport a day after the collision of AA flight 5342 and a military Blackhawk helicopter—aborted the landing at the last minute.
I am not sure where I picked up this pronouncement, but I find it to be apropos to the topsy-turvy moment where we find ourselves in 2025. In addition to the first U.S. commercial airline crash in 15 years, we are witnessing a new presidential administration in its infancy playing by the Silicon Valley rules of “move fast, break things.” We’ve seen DeepSeek, the low-cost Chinese AI that reportedly uses 50–75 percent less energy than its NVIDIA-powered counterparts, tank Constellation’s market value by more than 20 percent in one late-January trading day.
Technical Session|Sponsored by MCD
Tuesday, November 17, 2020|2:40–4:20PM EST
Session Chair:
Nicholas A. Gentile
Alternate Chair:
Travis J. Trahan
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.
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Application of lpCMFD for K-Eigenvalue Transport Problems with Feedback
Dean Wang (Ohio State University)
Paper
Solution of the Monoenergetic Neutron Transport Equation in a Half Space via Singular Eigenfunction Expansion
Barry D. Ganapol (University of Arizona)
A New Deterministic Truncation of Monte Carlo Solution Using Decoupled Fine-Mesh Finite Difference Method
Inhyung Kim (Korea Advanced Institute of Science & Technology), Yonghee Kim (KAIST)
Presentation Video (Visible to Attendees)
An Introduction to a Generalized Functional Expansion Tally Library
Chase M. Juneau (Idaho State University), Aaron Johnson (Idaho State University), Katherine Wilsdon (Idaho State University), Leslie M. Kerby (Idaho State University)
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