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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Remembering ANS member Gil Brown
Brown
The nuclear community is mourning the loss of Gilbert Brown, who passed away on July 11 at the age of 77 following a battle with cancer.
Brown, an American Nuclear Society Fellow and an ANS member for nearly 50 years, joined the faculty at Lowell Technological Institute—now the University of Massachusetts–Lowell—in 1973 and remained there for the rest of his career. He eventually became director of the UMass Lowell nuclear engineering program. After his retirement, he remained an emeritus professor at the university.
Sukesh Aghara, chair of the Nuclear Engineering Department Heads Organization, noted in an email to NEDHO members and others that “Gil was a relentless advocate for nuclear energy and a deeply respected member of our professional community. He was also a kind and generous friend—and one of the reasons I ended up at UMass Lowell. He served the university with great dedication. . . . Within NEDHO, Gil was a steady presence and served for many years as our treasurer. His contributions to nuclear engineering education and to this community will be dearly missed.”
Henri Weisen, Paula Sirén, Jari Varje, Zamir Ghani, JET Contributors, TCV Team
Fusion Science and Technology | Volume 81 | Number 3 | April 2025 | Pages 244-258
Research Article | doi.org/10.1080/15361055.2024.2370736
Articles are hosted by Taylor and Francis Online.
Most databases in fusion research are devoted to a single topic, such as energy confinement, H-modes, profiles, or disruptions. To allow for a wider range of analysis, modeling, and validation tasks, the JETPEAK broad-based multipurpose database has been developed for JET. This database currently includes 27 065 stationary state (∂/∂t ≈ 0) samples and nearly 1000 scalar, one-dimensional (profiles), and two-dimensional (R and Z dependent) variables grouped into topical structures. A similar database has been created for the Tokamak à Configuration Variable (TCV), comprising 65 000 samples reaching back to early TCV operation in the 1990s. The breadth and flexibility of these databases allows them to be used for a wide variety of investigations such as modeling tasks, confinement scaling, testing, validation and benchmarking of algorithms and modeling codes, and long-term monitoring of device conditions, as well as for documentation.
