From Absorption Spectra to Charge Transfer in Nanoaggregates of Oligomers with Machine Learning

Fast and inexpensive characterization of materials properties is a key element to discover novel functional materials. In this work, we suggest an approach employing three classes of Bayesian machine learning (ML) models to correlate electronic absorption spectra of nanoaggregates with the strength...

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Veröffentlicht in:	ACS nano 2020-06, Vol.14 (6), p.6589-6598
Hauptverfasser:	Roch, Loïc M, Saikin, Semion K, Häse, Florian, Friederich, Pascal, Goldsmith, Randall H, León, Salvador, Aspuru-Guzik, Alán
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemistry Chemistry, Multidisciplinary Chemistry, Physical Materials Science Materials Science, Multidisciplinary Nanoscience & Nanotechnology Physical Sciences Science & Technology Science & Technology - Other Topics Technology
Online-Zugang:	Volltext
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