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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.
Charles A. Gentile, John J. Parker, Stewart J. Zweben
Fusion Science and Technology | Volume 41 | Number 3 | May 2002 | Pages 551-554
Analysis and Monitoring | Proceedings of the Sixth International Conference on Tritium Science and Technology Tsukuba, Japan November 12-16, 2001 | doi.org/10.13182/FST02-A22649
Articles are hosted by Taylor and Francis Online.
Princeton Plasma Physics Laboratory (PPPL) has developed a method of imaging tritium on in-situ surfaces for the purpose of real-time data collection. This method expands upon a previous tritium imaging concept, also developed at PPPL.1 Enhancements include an objective lens coupled to the entry aperture of a coherent fiber optic (CFO) bundle, and a relay lens connecting the exit aperture of the fiber bundle to an intensifier tube and a charge-coupled device (CCD) camera.2 The system has been specifically fabricated for use in determining tritium concentrations on first wall materials. One potential complication associated with the development of D-T fueled fusion reactors is the deposition of tritium (i.e. co-deposited layer) on the surface of the primary wall of the vacuum vessel.3 It would be advantageous to implement a process to accurately determine tritium distribution on these inner surfaces. This fiber optic imaging device provides a highly practical method for determining the location, concentration, and activity of surface tritium deposition. In addition, it can be employed for detection of tritium “hot-spots” and “hide-out” regions present on the surfaces being imaged.