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
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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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Latest News
ARPA-E announces $40 million to develop transmutation technologies for UNF
The Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E) announced $40 million in funding to develop cutting-edge technologies to enable the transmutation of used nuclear fuel into less-radioactive substances. According to ARPA-E, the new initiative addresses one of the agency’s core goals as outlined by Congress: to provide transformative solutions to improve the management, cleanup, and disposal of radioactive waste and spent nuclear fuel.
S. Chatzidakis, P. T. Forsberg, L. H. Tsoukalas
Nuclear Technology | Volume 192 | Number 1 | October 2015 | Pages 61-73
Technical Paper | Radiation Transport and Protection | doi.org/10.13182/NT14-112
Articles are hosted by Taylor and Francis Online.
Governments are interested in radiation signal encryption in projects relating to international safeguards; however, the available algorithms do not suitably address the challenges presented by the increasing computational capability of various actors, which require recent encryption algorithms to be more robust against attack algorithms. Therefore, an algorithmic approach for performing radiation signal encryption employing the nonlinear capabilities of artificial neural networks with the noise-like properties of chaotic systems is proposed herein. The radiation signal digital envelope consists of the encrypted signal such as may be found through gamma spectroscopy, the secret key for the encryption, and the associated hash value. The presented algorithmic approach demonstrates, in an orderly manner, an integrated method for computing this radiation signal digital envelope. Indispensable constituents of encryption include both the construction of a time series with chaotic characteristics and the incorporation of a hash function generator to satisfy the security requirements of confidentiality, authentication, and nonrepudiation. The methodology is demonstrated via the encryption and subsequent decryption of two frequently occurring radiation signals, namely, gamma spectroscopy signals from 60Co and 137Cs. The results obtained demonstrate the capability of the algorithmic approach to integrate artificial neural networks and chaos dynamics to produce the radiation signal digital envelope (for given security requirements).