Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)

标题
Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs)
作者
关键词
-
出版物
ACS Combinatorial Science
Volume 19, Issue 10, Pages 640-645
出版商
American Chemical Society (ACS)
发表日期
2017-08-11
DOI
10.1021/acscombsci.7b00056

向作者/读者发起求助以获取更多资源

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

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