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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.
John N. Harb, William G. Pitt, H. Dennis Tolley
Fusion Science and Technology | Volume 18 | Number 4 | December 1990 | Pages 669-677
Technical Notes on Cold Fusion | doi.org/10.13182/FST90-A29261
Articles are hosted by Taylor and Francis Online.
Experiments are conducted to examine neutron emissions associated with electrolysis of 3 M LiOD in heavy water with a palladium electrode. The data show evidence of an increase in the number of neutrons detected during heavy water electrolysis relative to light water background experiments. No anomalous heat, tritium, or helium is detected. A rigorous statistical analysis is used to describe the distribution of both the neutron burst size and burst rate, each of which is characterized by a single parameter. The background neutron emission can be characterized by a burst size of 2 and a burst rate of 0.123 s−1, although some variability is observed. Analysis establishes the statistical significance of increased neutron emission during foreground (heavy water) runs, even when background variability is taken into account. In one case, the neutron emission is characterized by large but infrequent bursts. In the other case, only the burst rate increases to 0.203 s−1. Although the data are limited, the need for careful statistical analysis and the importance of experimental design are shown.