“pySiRC”: Machine Learning Combined with Molecular Fingerprints to Predict the Reaction Rate Constant of the Radical-Based Oxidation Processes of Aqueous Organic Contaminants

Title
“pySiRC”: Machine Learning Combined with Molecular Fingerprints to Predict the Reaction Rate Constant of the Radical-Based Oxidation Processes of Aqueous Organic Contaminants
Authors
Keywords
-
Journal
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 55, Issue 18, Pages 12437-12448
Publisher
American Chemical Society (ACS)
Online
2021-09-03
DOI
10.1021/acs.est.1c04326

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now