Phosphorescent Material Search Using a Combination of High-Throughput Evaluation and Machine Learning

High-throughput experiments including combinatorial chemistry are useful for generating large amounts of data within a short period of time. Machine learning can be used to predict the regularity of a response variable using a statistical model of a data set. Because a combination of these methods c...

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Veröffentlicht in:	Inorganic chemistry 2019-08, Vol.58 (16), p.10936-10943
Hauptverfasser:	Hazama, Hirofumi, Sobue, Susumu, Tajima, Shin, Asahi, Ryoji
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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