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The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
Ao Zhang, Li Chen, Chunlei Wang, Jingmin Li
Nuclear Technology | Volume 211 | Number 8 | August 2025 | Pages 1809-1822
Research Article | doi.org/10.1080/00295450.2024.2430124
Articles are hosted by Taylor and Francis Online.
Micro nuclear batteries are primarily designed to provide long-term, stable power supplies for microdevices operating in extreme environments. Currently, increasing the power output of nuclear batteries is essential for their broader application. This study investigates the output characteristics of the gallium nitride (GaN)-based PIN junction betavoltaic battery powered by 147Pm radioactive sources. Based on Monte Carlo (Geant4) and technology computer-aided design (TCAD), we calculate the J-V characteristics of the betavoltaic battery under various radioactive source and transducer structural parameters. Notably, we analyze the impact of traps in the GaN on the battery output.
The results indicate that when the 147Pm source thickness approaches 10 μm, the surface power output density nearly reaches its maximum. Under irradiation from a source of this thickness, and without considering transducer traps, the device achieves a maximum output power density Pmax of 35.68 ± 0.3 μW/cm2 and a device energy conversion efficiency ηd of 6.69% ± 0.06%, significantly surpassing the output of 63Ni-based cells. Considering transducer traps, Pmax decreases to 22.81 μW/cm2. The acceptor trap H1 (energy level: Ev + 0.86 to 0.88) formed during the growth process is found to be the primary factor reducing battery performance.