New perspectives on the theory of radiation damage in metals

Matthews, Juan R.

doi:10.1016/j.ijpvp.2004.02.006

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Cited by 3 publications

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“…Ideally, one would like to predict the behaviour of radiation-damaged materials in future fusion power plants using mechanistic models [1], allied with the experimental data from past and present facilities as well as future ones (e.g. the International Fusion Materials Irradiation Facility (IFMIF) [2]).…”

Section: Introductionmentioning

confidence: 99%

Neural network analysis of Charpy transition temperature of irradiated low-activation martensitic steels

Cottrell

Kemp

Bhadeshia

et al. 2007

Journal of Nuclear Materials

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We have constructed a Bayesian neural network model that predicts the change, due to neutron irradiation, of the Charpy ductile-brittle transition temperature (ΔDBTT) of low activation martensitic steels given a 40-dimensional set of data from the literature. The irradiation doses were < 100 displacements per atom (dpa). Results show the high significance of irradiation temperature and (dpa) 1/2 in determining ΔDBTT. Sparse data regions were identified by the size of the modelling uncertainties, indicating areas where further experimental data are needed. The method has promise for selecting and ranking experiments on future irradiation materials test facilities.

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Section: Introductionmentioning

confidence: 99%