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.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
Latest News
INL’s Teton supercomputer open for business
Idaho National Laboratory has brought its newest high‑performance supercomputer, named Teton, online and made it available to users through the Department of Energy’s Nuclear Science User Facilities program. The system, now the flagship machine in the lab’s Collaborative Computing Center, quadruples INL’s total computing capacity and enters service as the 85th fastest supercomputer in the world.
Kimberly A. DeFriend Obrey, Robert D. Day, Doug Hatch, Brent F. Espinoza, Shihai Feng, Brian M. Patterson
Fusion Science and Technology | Volume 55 | Number 4 | May 2009 | Pages 490-498
Technical Paper | Eighteenth Target Fabrication Specialists' Meeting | doi.org/10.13182/FST55-4-490
Articles are hosted by Taylor and Francis Online.
Aerogel is a material used in numerous components for inertial confinement fusion and high-energy density physics targets. In the past, these components were molded into the proper shapes. Artifacts left in the parts from the molding process, contour irregularities from shrinkage, and density gradients caused by the skin have caused Los Alamos National Laboratory to pursue machining as a way to make the components. The machining of aerogel is an involved process, and many manufacturing aspects need to be considered including holding the material for machining, achieving the desired surface roughness and the desired dimensional accuracy, conceivably producing a part with enhanced dimensional tolerance and minimal density variations. Therefore, an effort has been established to develop a method to more accurately determine density errors, perform machining experiments, acquire physical property data, and model the machining process.