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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. Itikawa
Fusion Science and Technology | Volume 63 | Number 3 | May 2013 | Pages 333-337
Technical Paper | Selected papers from IAEA-NFRI Technical Meeting on Data Evaluation for Atomic, Molecular and Plasma-Material Interaction Processes in Fusion, September 4-7, 2012, Daejeon, Republic of Korea | doi.org/10.13182/FST13-A16439
Articles are hosted by Taylor and Francis Online.
Evaluation of cross-section data for various collision processes is now being made by many groups. But the results (i.e., recommended data) are often different from each other depending on who evaluates them. An evaluation (or validation) of the evaluated data is necessary. Three examples of the activity are shown here: (a) consistency check of the total scattering cross section, (b) calculation of the swarm parameters, and (c) chemical modeling. For the first two cases, a demonstration is performed with the use of the cross-section sets recommended for the electron collisions with N2 and O2 by the present author.