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Latest News
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.
Andreas Dinklage, Rainer Fischer, Robert Wolf
Fusion Science and Technology | Volume 62 | Number 3 | November 2012 | Pages 419-427
Selected Paper from Seventh Fusion Data Validation Workshop 2012 (Part 2) | doi.org/10.13182/FST12-A15341
Articles are hosted by Taylor and Francis Online.
A new concept for the design of diagnostics for fusion devices is introduced. The concept is based on the combination of sets of different diagnostics to an integrated meta-diagnostic. The approach applies methods from Bayesian experimental design and allows for quantitative assessments of differing meta-diagnostics. A specific example is the combination of interferometry and Thomson scattering data to determine the capabilities of the proposed method. The approach also determines the minimum sets of diagnostics required to determine physics quantities with a given accuracy. This is relevant for the control of reactor-relevant scenarios such as with DEMO.