On-the-fly closed-loop materials discovery via Bayesian active learning

On-the-fly closed-loop materials discovery via Bayesian active learning

Machine learning driven research holds big promise towards accelerating materials’ discovery. Here the authors demonstrate CAMEO, which integrates active learning Bayesian optimization with practical experiments execution, for the discovery of new phase- change materials using X-ray diffraction expe...

Full description

Saved in:
Bibliographic Details
Main Authors: A. Gilad Kusne, Heshan Yu, Changming Wu, Huairuo Zhang, Jason Hattrick-Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo, Albert V. Davydov, Ritesh Agarwal, Leonid A. Bendersky, Mo Li, Apurva Mehta, Ichiro Takeuchi
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Science
Q
Online Access:https://doaj.org/article/04164405f2b441b89a1dbae389eb4d1c
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items