Abstract
Nanosystems have great potential in practical applications such as: sensors, circuits, solar panels, super strong materials, protective coatings, and drug delivery. Much research is devoted to designing and fabricating these nanosystems. However, the question of reliability is often overlooked during the design process. Specifically, the ability to analyze the reliability of the nanocomponents is lost. In this paper, we introduce the use of Approximate Bayesian Computation to assess nanocomponent reliability. Data on the lifetime of the nanocomponents is not required with this approach; instead data on the lifetime of the nanosystem is utilized. The proposed statistical and computational algorithms result in a more comprehensible understanding of the nanosystem in order to improve the overall reliability.
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