Metal–Organic Frameworks for Xylene Separation: From Computational Screening to Machine Learning

标题
Metal–Organic Frameworks for Xylene Separation: From Computational Screening to Machine Learning
作者
关键词
-
出版物
Journal of Physical Chemistry C
Volume 125, Issue 14, Pages 7839-7848
出版商
American Chemical Society (ACS)
发表日期
2021-04-03
DOI
10.1021/acs.jpcc.0c10773

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

Find the ideal target journal for your manuscript

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

Search