Identification of Potential PBT/POP-Like Chemicals by a Deep Learning Approach Based on 2D Structural Features

Title
Identification of Potential PBT/POP-Like Chemicals by a Deep Learning Approach Based on 2D Structural Features
Authors
Keywords
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Journal
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 54, Issue 13, Pages 8221-8231
Publisher
American Chemical Society (ACS)
Online
2020-06-03
DOI
10.1021/acs.est.0c01437

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