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Accelerating materials property predictions using machine learning

The materials discovery process can be significantly expedited and simplified if we can learn effectively from available knowledge and data. In the present contribution, we show that efficient and accurate prediction of a diverse set of properties of material systems is possible by employing machine...

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Hlavní autoři: Pilania, Ghanshyam, Wang, Chenchen, Jiang, Xun, Rajasekaran, Sanguthevar, Ramprasad, Ramamurthy
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3786293/
https://ncbi.nlm.nih.gov/pubmed/24077117
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep02810
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