Predicting Solute Descriptors for Organic Chemicals by a Deep Neural Network (DNN) Using Basic Chemical Structures and a Surrogate Metric

标题
Predicting Solute Descriptors for Organic Chemicals by a Deep Neural Network (DNN) Using Basic Chemical Structures and a Surrogate Metric
作者
关键词
-
出版物
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 56, Issue 3, Pages 2054-2064
出版商
American Chemical Society (ACS)
发表日期
2022-01-08
DOI
10.1021/acs.est.1c05398

向作者/读者发起求助以获取更多资源

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started