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Informatics for Combinatorial Experiments: Accelerating Data Interpretation
Published online by Cambridge University Press: 26 February 2011
Abstract
Combinatorial experiments provide a means of generating large amounts of experimental data; however that does not necessarily lead to high throughput interpretation of that data. In this paper we provide a brief summary of how one can use informatics techniques to accelerate data interpretation from high throughput experiments. We provide examples from high throughput nanoindentation and diffraction experiments.
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- Research Article
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- Copyright © Materials Research Society 2006