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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Y.-C. Chen, Y.-S. Yu, R.-S. Chen, I-Hsin Chou, H. M. Sun, K. C. Yeh
Nuclear Technology | Volume 182 | Number 3 | June 2013 | Pages 358-368
Technical Paper | Radioactive Waste Management and Disposal | doi.org/10.13182/NT13-A16985
Articles are hosted by Taylor and Francis Online.
Radioactive waste management is now a much discussed public issue, especially since the Taiwanese government announced that three operating nuclear power plants will be decommissioned on schedule. Safe, efficient, reliable, and sustainable solutions to the management of radioactive wastes are critical to the feasibility of the nuclear decommissioning project. Because of the lack of system integration within radioactive waste storage facilities, most of the radioactive waste information systems remain inconsistent. Therefore, the establishment of an intelligent integrated system that provides active assistance in tracing the processes of radioactive wastes is urgent.This study is based on the technology of radio frequency identification for detection of radioactive waste locations. An automatic identification mechanism can monitor the status of storage and instantly notify the relevant parties. Meanwhile, this platform also employs the software agent as the infrastructure to construct the integrated information system architecture; the software agent has been widely accepted as an effective method to integrate heterogeneous systems of the new paradigm. The overall framework will help enhance the monitoring performance for radioactive waste.