Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries

Published 2016 View Full Article

Authors

Keywords

Li-ion batteries, Crystal system, Machine learning, Classification methods, Monte Carlo, Ensemble methods, Optimization

Journal

COMPUTATIONAL MATERIALS SCIENCE

Volume 117, Issue -, Pages 270-278

Publisher

Elsevier BV

Online

2016-02-23

DOI

10.1016/j.commatsci.2016.02.021

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

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

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now