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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.
Yasunori Kitamura, Masahiro Fukushima
Nuclear Science and Engineering | Volume 186 | Number 2 | May 2017 | Pages 168-179
Technical Paper | doi.org/10.1080/00295639.2016.1273017
Articles are hosted by Taylor and Francis Online.
An inconsistency between the reactivity worth of short-sized samples measured by the critical-water-level (CWL) method and that conventionally analyzed for validating nuclear data and nuclear calculation methods has been known. The present study investigated this inconsistency in terms of a simple theoretical framework and proposed a simple and practical technique for correcting the measured sample reactivity worth without making supplementary experiments. A series of Monte Carlo calculations that simulated typical sample reactivity worth measurement by the CWL method showed that this inconsistency is effectively reduced by the present correction technique.