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
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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Nuclear Science and Engineering
July 2025
Nuclear Technology
June 2025
Fusion Science and Technology
Latest News
NuScale Energy Exploration Center opens at SC State
NuScale Power Corporation’s latest Energy Exploration (E2) Center has opened at South Carolina State University, in Orangeburg. E2 Centers are designed to provide visitors with hands-on experiences in simulated scenarios of operations at nuclear power plants. NuScale has established 10 such centers around the world. The company officially presented the fully installed E2 Center to SC State on May 21, after a collaborative setup and training process was completed.
F. Schmittroth
Nuclear Science and Engineering | Volume 72 | Number 1 | October 1979 | Pages 19-34
Technical Paper | doi.org/10.13182/NSE79-A19306
Articles are hosted by Taylor and Francis Online.
The formal basis for a data evaluation method is documented. This method has been successfully applied to a variety of practical problems, and details important to these problems are included. The method can be crudely described as a means for using lognormal a priori information in the standard least-squares algorithm. Emphasis is on the proper use of uncertainties and correlations, both in the data to be evaluated and in the final evaluation itself. Finally, important details and pitfalls common to least-squares methods are included.