ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
2021 Student Conference
April 8–10, 2021
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Fusion Science and Technology
ANS webinar to focus on low-dose radiation risk
Join ANS on Thursday, January 21, at noon (ET) for a Q&A with an expert panel as they discuss how to communicate about the risk of low-dose radiation. “Talking About Low-dose Radiation Risk” is a free members-only event that serves as a follow-up to the “Risky Business” President’s Session that took place during the ANS Virtual Winter Meeting last November. The session will take a deeper dive into the many questions generated from the thought-provoking discussion.
Register now to attend the webinar.
H. Huang, H. W. Xu, K. P. Youngblood, D. R. Wall, R. B. Stephens, K. A. Moreno, A. Nikroo, K. J. Wu, M. Wang, A. V. Hamza
Fusion Science and Technology | Volume 63 | Number 2 | March-April 2013 | Pages 190-201
Technical Paper | Selected papers from 20th Target Fabrication Meeting, May 20-24, 2012, Santa Fe, NM, Guest Editor: Robert C. Cook | dx.doi.org/10.13182/FST13-TFM20-24
Articles are hosted by Taylor and Francis Online.
The National Ignition Facility point design uses a five-layer capsule to modify the X-ray absorption in order to achieve optimized shock timing. A stepwise copper dopant design defines the layer structure; however, the as-deposited Cu distribution is significantly altered during the CH mandrel removal by pyrolysis. The changes are significant: (a) Cu diffuses on average several microns, a distance more than an order of magnitude larger than predicted from the bulk diffusion data, and (b) the Cu distribution, as a result of diffusion, is highly heterogeneous, introducing a local variation of [approximately]0.06 at. % near the original layer interface. In this study, we developed quantitative techniques to measure Cu diffusion and explored its correlation to beryllium microstructures. Plausible diffusion mechanisms and mitigation methods will be discussed. These findings will enable more accurate evaluation of the expected target performance.