Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model

标题
Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model
作者
关键词
Chemoinformatics, Greenhouse gas, CO<sub>2</sub>, Absorption, Solubility, Physical solvent, Chemical descriptors, Prediction, Machine learning, Artificial neural network (ANN)
出版物
Environmental Chemistry Letters
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-03-18
DOI
10.1007/s10311-019-00874-0

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

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