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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.”
William G. Davey, Paul I. Amundson
Nuclear Science and Engineering | Volume 28 | Number 1 | April 1967 | Pages 111-123
Technical Paper | doi.org/10.13182/NSE67-A18673
Articles are hosted by Taylor and Francis Online.
The spherical shell method for investigating inelastic scattering cross sections has been used in a fast-reactor core environment. The changes in 238U/ 235U, 236U/ 235U, and 234U/ 235U fission ratios caused by placing shells of graphite, sodium, aluminum, iron, stainless steel, lead, and depleted uranium around the fission chambers were measured. Our studies show that reasonably accurate measurements can be made in a fast-reactor core. Where comparisons can be made, our results are in excellent agreement with the fission spectrum results of Bethe, Beyster, and Carter. Comparisons of our measured data with values calculated using two multigroup cross-section sets show clearly where these data sets are accurate and where they are in error.
