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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
Kentucky legislature sends nuclear bills to governor
Kentucky’s Republican-majority legislature passed a bill this past week that could bring nuclear energy to the “coal-is-king” state as lawmakers broadly seek solutions to reduce carbon emissions. The bill went to Democratic Gov. Andrew Beshear on Monday for final approval.
J. El Asri, O. El Bounagui, N. Tahiri, H. Erramli, A. Chetaine
Nuclear Technology | Volume 205 | Number 9 | September 2019 | Pages 1236-1244
Technical Paper | doi.org/10.1080/00295450.2019.1590071
Articles are hosted by Taylor and Francis Online.
The stopping power of Formvar and Mylar polymeric materials for energy region (0.1 to 1.0) MeV/nucleon 19F, 23Na, 24Mg, 27Al, 28Si, 31P, 32S, 35Cl, and 40Ar ions have been determined. The energy loss and stopping power of Mylar were calculated for 11B having energies between 0.31 and 0.85 MeV/nucleon. In fact, the factor ξe and exponential function f(E) involved in Lindhard, Scharff, and Schiott (LSS) theory has been modified in light of the available simulation electronic stopping power values. The results obtained by the LSS modified theory and Monte Carlo simulations are compared with MSTAR, the SRIM predictions code, and experimental data. The obtained results show a close agreement qualitatively with MSTAR, experimental data, and those generated by the SRIM computer code.