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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
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Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
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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High-temperature plumbing and advanced reactors
The use of nuclear fission power and its role in impacting climate change is hotly debated. Fission advocates argue that short-term solutions would involve the rapid deployment of Gen III+ nuclear reactors, like Vogtle-3 and -4, while long-term climate change impact would rely on the creation and implementation of Gen IV reactors, “inherently safe” reactors that use passive laws of physics and chemistry rather than active controls such as valves and pumps to operate safely. While Gen IV reactors vary in many ways, one thing unites nearly all of them: the use of exotic, high-temperature coolants. These fluids, like molten salts and liquid metals, can enable reactor engineers to design much safer nuclear reactors—ultimately because the boiling point of each fluid is extremely high. Fluids that remain liquid over large temperature ranges can provide good heat transfer through many demanding conditions, all with minimal pressurization. Although the most apparent use for these fluids is advanced fission power, they have the potential to be applied to other power generation sources such as fusion, thermal storage, solar, or high-temperature process heat.1–3
Ahmad Al Rashdan, Shawn St. Germain
Nuclear Technology | Volume 205 | Number 8 | August 2019 | Pages 1062-1074
Rapid Communication – Special section on Big Data for Nuclear Power Plants | doi.org/10.1080/00295450.2019.1610637
Articles are hosted by Taylor and Francis Online.
The operations and maintenance monitoring of nuclear power plants (NPPs) in the United States is reliant on manual activities supplying information to a human decision-making process. Several manually collected labor-intensive processes generate information that is not typically used beyond the intended target for collecting that information. The industry has recognized the benefits of both reducing labor-intensive tasks by automating them and increasing the fidelity of the information collected to enable advanced remote monitoring of NPPs using data-driven decision making. This requires developing new means to acquire data from the various data sources of an NPP. While some sources already exist in a digital form, others are collected manually, summarized through conclusive statements, or not collected at all. This paper describes 15 sources of data at an NPP and methods to migrate the data collection from a manual and analog data form to an automated and digital data form that increases the data fidelity in time and space. Three states of data collection methods are described for each data source. The states describe a base state for how the data are currently being collected, a modern state for a more efficient method of collecting data that has not yet been implemented, and a state of the art for an advanced method of collecting data that is not yet ready for deployment.