Convolutional neural network prediction of molecular properties for aerosol chemistry and health effects

Convolutional neural network prediction of molecular properties for aerosol chemistry and health effects

Abstract Quinones are chemical compounds commonly found in air particulate matter (PM). Their redox activity can generate reactive oxygen species (ROS) and contribute to the oxidative potential (OP) of PM leading to adverse health effects of aerosols. The quinones' OP and ability to form ROS ar...

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Bibliographic Details
Main Authors: Matteo Krüger, Jake Wilson, Marco Wietzoreck, Benjamin A. Musa Bandowe, Gerhard Lammel, Bertil Schmidt, Ulrich Pöschl, Thomas Berkemeier
Format: Article
Language:English
Published: Wiley-VCH 2022-10-01
Series:Natural Sciences
Subjects:
quinone
redox chemistry
environmental chemistry
redox potential
oxidative potential
convolutional neural network
Online Access:https://doi.org/10.1002/ntls.20220016

Internet

https://doi.org/10.1002/ntls.20220016

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