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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.
M. N. Moore
Nuclear Science and Engineering | Volume 3 | Number 4 | April 1958 | Pages 387-394
Technical Paper | doi.org/10.13182/NSE58-A25476
Articles are hosted by Taylor and Francis Online.
Upon application of the theory of stochastic processes to reactor kinetics, it is possible to show that the square of the modulus of the reactor transfer function is proportional to the Fourier transform of the autocorrelation function for power noise in the reactor. Since the power noise represents the response to the minimum power input signal, measurements of transfer functions based upon reactor noise are of all possible measurements, least subject to nonlinear distortion. By performing the experiment at various power levels and temperatures, it is possible to measure both power and temperature coefficients. If the reactor is periodically monitored during its operation, long term changes can also be measured.