ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Thermal Hydraulics
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
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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November 2024
Latest News
Acceleron Fusion raises $24M in seed funding to advance low-temp fusion
Cambridge, Mass.–based fusion startup Acceleron Fusion announced that it has closed a $24 million Series A funding round co-led by Lowercarbon Capital and Collaborative Fund. According to Acceleron, the funding will fuel the company’s efforts to advance its low-temperature muon-catalyzed fusion technology.
Tom Burr, Michael S. Hamada
Nuclear Science and Engineering | Volume 177 | Number 3 | July 2014 | Pages 307-320
Technical Paper | doi.org/10.13182/NSE13-86
Articles are hosted by Taylor and Francis Online.
The time series of material balances in nuclear material accounting (NMA) is also known as the material unaccounted for (MUF) sequence. This paper applies a joint cusum test to residual time series from NMA that arise from either of two options. The first residual series is the standardized, independently transformed MUF (SITMUF) sequence that relies on an estimate of Σ, the MUF covariance matrix. The second residual series arises from using either time series modeling or nonparametric smoothing on the MUF sequence and ignores the estimate of Σ. Assuming that the MUF sequence is multivariate Gaussian and ignoring estimation error in Σ, we find the anticipated result that the first option is superior to the second option. In addition, we find that the SITMUF scheme in the first option is robust to modest estimation error in Σ over a large number of idealized facilities, but not necessarily so for any specific idealized facility. These two findings provide a perspective on previous literature that addressed a perceived weakness in NMA.