ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
May 2026
Latest News
The DOE’s plan for AI in NRC licensing
The Department of Energy announced the completion of a proof-of-concept demonstration of the use of Everstar’s AI tool to generate chapter 5 of an NRC license application from preliminary safety documents.
The 208-page document was created by the AI tool in approximately one day. According to the DOE, it would typically take a team of people between four and six weeks to complete this work.
Karen Colins, Yu Liu, Liqian Li, Kiranpreet Birdee
Nuclear Technology | Volume 201 | Number 2 | February 2018 | Pages 113-121
Technical Paper | doi.org/10.1080/00295450.2017.1411718
Articles are hosted by Taylor and Francis Online.
Proximate to nuclear power plant severe accidents, sustained high levels of gamma radiative flux are perilous not only to human health but also to the functionality of conventional radiation-monitoring devices. Effective accident mitigation presents a significant challenge because the gamma radiation adversely affects the means by which it is measured. Deployments of large numbers of radiation-hardened monitoring devices, required to meet the demands of adequate system reliability and the large spatiotemporal scales associated with such accidents, are expected to be prohibitively expensive. As an affordable alternative, this paper proposes usage of a wireless sensor network (WSN) built with unshielded low-cost integrated circuits (ICs) acting as consumable proportional sensors of gamma radiation dose. Adverse responses of ICs to damaging gamma radiation dose can be characterized statistically, in controlled laboratory experiments. In subsequent field application, responses of individual ICs, transmitted over a WSN to a remote computer, can be translated into local dose measurements using correlations obtained via the laboratory characterization. Experiments to characterize adverse response to radiation dose were performed on multiple complementary metal-oxide-semiconductor–based electrically erasable programmable read-only memory devices in a Gammacell 220 Cobalt-60 Irradiation Unit (60Co source) at the Canadian Nuclear Laboratories. Details of the experiments, data analyses, and a small-scale prototype WSN are discussed in this paper. Outcomes of the experiments a nd analysis support the concept of using low-cost consumable ICs in a WSN to measure high levels of gamma radiation dose associated with nuclear power plant severe accidents.