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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.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Fusion Science and Technology
Latest News
Neutron Vision at Los Alamos: Exploring the Frontiers of Nuclear Materials Science
In materials science, understanding the unseen—how materials behave internally under real-world conditions—has always been key to developing new materials and accelerating innovative technologies to market. Moreover, the tools that allow us to see into this invisible world of materials have often been game-changers. Among these, neutron imaging stands out as a uniquely powerful method for investigating the internal structure and behavior of materials without having to alter or destroy the sample. By harnessing the unique properties of neutrons, researchers can uncover the hidden behavior of materials, providing insights essential for advancing nuclear materials and technologies.
Brian M. Patterson, John Sain, Richard Seugling, Miguel Santiago-Cordoba, Lynne Goodwin, John Oertel, Joseph Cowan, Christopher E. Hamilton, Nikolaus L. Cordes, Stuart A. Gammon, Theodore F. Baumann
Fusion Science and Technology | Volume 73 | Number 2 | March 2018 | Pages 173-182
Technical Paper | doi.org/10.1080/15361055.2017.1364923
Articles are hosted by Taylor and Francis Online.
The measurement of the density of materials, especially ultralow-density foams, is difficult in that the measurement must be precise and localizable. The density of the material is often governed by its cellular (i.e., porous) structure, and many techniques exist to create that structure. Often, the cellular structure can vary from one location within the material to another, and when at low densities (i.e., densities lower than ~500 mg/cm3), it can vary due to shrinkage during syneresis, collapse under the weight of gravity, or gas/water vapor uptake. Quantifying this variation is important for a variety of applications, especially when used in plasma physics targets. Knowing the density and its variation across the sample is critical for experimental results to be accurately predicted by physics calculations and for modeling the results of the physics targets. The use of quasi-monochromatic radiography provides a means to image the two-dimensional (2-D) distribution of density variation within silica aerogel materials and to quantitatively measure that variation from sample to sample and lot to lot. For this study, two batches of silica aerogels with targeted densities of ~20 mg/cm3 were created, one batch at Lawrence Livermore National Laboratory, and the other batch at Los Alamos National Laboratory. Outlined here is a quasi-monochromatic radiography system using various X-ray sources coupled to a doubly curved crystal optic and X-ray charge-coupled device camera to image and characterize these materials. It was found that measuring the density both gravimetrically and using quasi-monochromatic radiography were statistically identical, although the two batches were found to be slightly higher than their targeted density due to shrinkage. The radiography system also provided 2-D information as to the aerogel quality, i.e., presence of voids, chipped material, or inclusions.