ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
Jefferson Lab awarded $8M for accelerator technology to enable transmutation
The Thomas Jefferson National Accelerator Facility is leading research supported by two Department of Energy Advanced Research Projects Agency–Energy (ARPA-E) grants aimed at developing accelerator technology to enable nuclear waste recycling, decreasing the half-life of spent nuclear fuel.
Both grants, totaling $8.17 million in combined funding, were awarded through the Nuclear Energy Waste Transmutation Optimized Now (NEWTON) program, which aims to enable the transmutation of nuclear fuels by funding novel technologies for improving the performance of particle generation systems.
Kenji Mashio, Mizuki Kasamatsu, Eisuke Noda
Nuclear Technology | Volume 209 | Number 3 | March 2023 | Pages 346-353
Technical Paper—Human-Machine Interface Technologies | doi.org/10.1080/00295450.2022.2087837
Articles are hosted by Taylor and Francis Online.
Mitsubishi Heavy Industries, Ltd. has developed a computer-aided decision-making supporting panel system called DMP to support decision making of management staff in nuclear power plants by presenting associated information (e.g., plant situation and on-site/off-site conditions) in an organized and timely manner during emergency conditions. DMP will be located on-site as well as at an office off-site and will present associated information for staff and managers to share information and promote communications. DMP has been developed considering lessons learned from the Fukushima Daiichi accident including situation awareness distraction and workload issues under severe accidents. It was recognized that it is difficult to collect, organize, and analyze plant data and associated information under high-stress conditions and a severely degraded work environment. DMP will collect plant status information using plant chronological data logs and associated information, such as site situations (e.g., various kinds of information showing damaged equipment and hazard area, etc.), verbal/written status reports, and communication logs among staffs who perform corresponding actions at the site. DMP has been developed using a human-centered design approach based on International and Japanese human factors engineering design guidance (i.e., IEC 60964, “Nuclear Power Plants – Control Rooms – Design,” and JEAG 4617, “Guideline for Development and Design of Computerized Human-Machine Interface in the Central Control Room”) and verified with human factors verification (task support verification) to ensure the DMP support decision-making process. DMP will be workable to organize and present the current situations and recommendations to staff with collected data and policies/rules in emergency management plans.