General Model for Predicting Response of Gas-Sensitive Materials to Target Gas Based on Machine Learning
Zijiang Yang,
Yujiao Sun,
Shasha Gao
et al.
Abstract:Gas sensors play a crucial role in various industries and applications. In recent years, there has been an increasing demand for gas sensors in society. However, the current method for screening gas-sensitive materials is time-, energy-, and cost-consuming. Consequently, an imperative exists to enhance the screening efficiency. In this study, we proposed a collaborative screening strategy through integration of density functional theory and machine learning. Taking zinc oxide (ZnO) as an example, the responsiv… Show more
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