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Conference Spotlight
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.”
Zhanpeng Huang, Yunki Jo, Qingming He, Liangzhi Cao, Hongchun Wu, Deokjung Lee
Nuclear Science and Engineering | Volume 199 | Number 9 | September 2025 | Pages 1391-1405
Research Article | doi.org/10.1080/00295639.2024.2438570
Articles are hosted by Taylor and Francis Online.
This study introduces a novel DXTRAN-based weight window generator (DWWG) for variance reduction in Monte Carlo (MC) radiation shielding calculations implemented in the MCS code developed at Ulsan National Institute of Science and Technology. DWWG eliminates the iterative generation required by traditional weight window generators (WWGs) while ensuring target region scoring through the embedded DXTRAN. By incorporating virtual tracks of DXTRAN into the importance estimation, DWWG produces high-quality weight windows. Performance verification of two radiation shielding problems demonstrated that weight windows generated by DWWG, when combined with direct simulation or DXTRAN, yielded increased figures of merit and reduced relative standard deviations. These results establish DWWG as an effective WWG for variance reduction in MC simulations.
