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2026 ANS Winter Conference & Expo
November 15–18, 2026
Phoenix, AZ|Arizona Grand Resort & Spa
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Fusion Science and Technology
August 2026
Latest News
Five companies, five bases: The Army’s Janus Program takes shape
Between the Nuclear Lifecycle Innovation Campuses and Nuclear Energy Launch Pad programs, August has already been a busy month for federal partnerships with the nuclear industry.
That trend continues: On Wednesday, the Department of the Army announced that it has selected five nuclear reactor developers—Antares Nuclear, BWXT Advanced Technologies, General Atomics Electromagnetic Systems, Radiant Industries, and Westinghouse Government Services—each paired with a different military installation, for its Janus Program.
This week, the nuclear community descended on Dallas, Texas, for the second annual Nuclear Energy Conference and Expo, the premier industry-focused nuclear conference cohosted by the American Nuclear Society and the Nuclear Energy Institute. Among the plenary panelists was Jeff Waksman, principal deputy assistant secretary of the Army for installations, energy, and environment. Waksman has been closely involved in the development of the Janus Program, and the morning before the program’s new selections were unveiled, he provided insights on its ultimate goals at NECX 2026.
Y. Li, C. D. Hu, Y. Z. Zhao, S. H. Song, Y. H. Xie, Y. Gu, Z. Wang, T. Ban, Q. L. Cui
Fusion Science and Technology | Volume 80 | Number 6 | August 2024 | Pages 772-780
Research Article | doi.org/10.1080/15361055.2023.2240184
Articles are hosted by Taylor and Francis Online.
For long-pulse negative ion–based neutral beam injection (NNBI) experiments, an automatic recording system was designed. The data processing algorithm of neutral beam injection was implemented on the basis of existing methods, and different experimental data were processed in a mode-based method according to the physical characteristics of the neutral beam injection experiment. Based on MDSplus segment storage technology, the range of recorded data was determined by intercepting the segment sequence number of the time series data. LabVIEW was used to achieve the efficient and accurate transmission of experimental processing data. A set of tests demonstrates that the NNBI auto-recording system meets the requirements of the NNBI experience in data processing accuracy (normalized mean square error [NMSE] < 0.04), data transmission accuracy (>98%), and data affect presentation. This system not only obviously improves the work efficiency, but also provides more reliable data sources for the intelligent analysis and processing of the NNBI system.