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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
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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Latest News
Biden executive order to facilitate AI data center power
As demand for artificial intelligence and data centers grows, President Biden issued an executive order yesterday aimed to ensure clean-energy power supply for the technology.
N. J. Drindak, J. A. Burke, G. Leinweber, J. A. Helm, J. G. Hoole, R. C. Block, Y. Danon, R. E. Slovacek, B. E. Moretti, C. J. Werner, M. E. Overberg, S. A. Kolda, M. J. Trbovich, D. P. Barry
Nuclear Science and Engineering | Volume 154 | Number 3 | November 2006 | Pages 294-301
Technical Paper | doi.org/10.13182/NSE06-A2634
Articles are hosted by Taylor and Francis Online.
Epithermal neutron capture and transmission measurements were performed using the time-of-flight method at the Rensselaer Polytechnic Institute linac using metallic Nb samples. The capture measurements were made at the 25-m flight station with a 16-section sodium iodide multiplicity detector and the transmission measurements at the 25-m flight station with a 6Li glass scintillation detector. Resonance parameters were determined for all resonances up to 500 eV with a combined analysis of capture and transmission data using the multilevel R-matrix Bayesian code SAMMY. The results are compared to those presented in ENDF/B-VI, updated through Release 3.