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.
Division Spotlight
Nuclear Nonproliferation Policy
The mission of the Nuclear Nonproliferation Policy Division (NNPD) is to promote the peaceful use of nuclear technology while simultaneously preventing the diversion and misuse of nuclear material and technology through appropriate safeguards and security, and promotion of nuclear nonproliferation policies. To achieve this mission, the objectives of the NNPD are to: Promote policy that discourages the proliferation of nuclear technology and material to inappropriate entities. Provide information to ANS members, the technical community at large, opinion leaders, and decision makers to improve their understanding of nuclear nonproliferation issues. Become a recognized technical resource on nuclear nonproliferation, safeguards, and security issues. Serve as the integration and coordination body for nuclear nonproliferation activities for the ANS. Work cooperatively with other ANS divisions to achieve these objective nonproliferation policies.
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!
Latest Magazine Issues
Jun 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
July 2025
Nuclear Technology
June 2025
Fusion Science and Technology
Latest News
Nominations open for CNTA awards
Citizens for Nuclear Technology Awareness is accepting nominations for its Fred C. Davison Distinguished Scientist Award and its Nuclear Service Award. Nominations for both awards must be submitted by August 1.
The awards will be presented this fall as part of the CNTA’s annual Edward Teller Lecture event.
Bo Zeng, Zijia Zhao, Zhong Chen, Dongmei Pan, Zhongliang Lv, Yanyun Ma
Fusion Science and Technology | Volume 77 | Number 2 | February 2021 | Pages 88-97
Technical Paper | doi.org/10.1080/15361055.2020.1850158
Articles are hosted by Taylor and Francis Online.
Fusion power, which generates electricity from the heat of fusion reactions, has the potential to solve the future energy crisis; hence, methods have been developed to study fusion reactions in a fusion reactor. For neutronic analyses of a fusion reactor, the reaction rate should be precisely calculated. The traditional calculation method has some defects. First, the deuterium-tritium fusion reaction cross-section data used are of the semiclassical model described by Gamow theory, which provides relatively accurate cross sections at energies below several hundreds of kilo-electron-volts in a center-of-mass frame. However, when energies increase, the data may be inaccurate. The ENDF/B-VI database provides accurate energies below 30 MeV. Since tokamak research always aims to raise the temperature inside, the ENDF/B-VI database may be more accurate at high temperatures and fit the research better. Second, adjacent plasmas with different temperatures and densities may influence each other and finally influence the reaction rate, which is not taken into account in the traditional calculation method. In this work, a numerical algorithm based on the ENDF/B-VI database employs both the Monte Carlo method and the discrete ordinates (SN) method, which is used to simulate the transportation process to obtain more accurate reaction rate results. Parameters of the European demonstration fusion power plant (DEMO) A-mode are used to calculate the reaction rate by both the traditional method and the new algorithm. The differences of the results are shown, and the total reaction rate of the new algorithm is 4.23% higher than that of the traditional method.