Novel Structural Feature-descriptor Platform for Machine Learning to Accelerate the Development of Organic Photovoltaics

Published: 19 January 2023| Version 4 | DOI: 10.17632/7wdzg9g2br.4
Contributor:
gyu-hee Kim

Description

<Novel Structural Feature-descriptor Platform for Machine Learning to Accelerate the Development of Organic Photovoltaics> - Nano Energy 106 (2023) 108108 - https://doi.org/10.1016/j.nanoen.2022.108108 The training/evaluating process of the Lightgbm model combined with leave-one-group-out cross-validation is described. Also, we attach a dataset including structural feature-descriptors and photovoltaic parameters to run the machine learning model.

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Institutions

Sungkyunkwan University

Categories

Organic Solar Cells, Machine Learning

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