Classification of platinum nanoparticle catalysts using machine learning
Computer simulations and machine learning provide complementary ways of identifying structure/property relationships that are typically targeting toward predicting the ideal singular structure to maximise the performance on a given application. This can be inconsistent with experimental observations that measure the collective properties of entire samples of structures that contain distributions or mixture of structures, even when synthesized and processed with care. Metallic nanoparticle...[Show more]
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|J Appl Phys 128 (2020) 014301.pdf||3.69 MB||Adobe PDF||Request a copy|
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