Accelerating materials science with high-throughput computations and machine learning

Title
Accelerating materials science with high-throughput computations and machine learning
Authors
Keywords
Machine learning, High-throughput, Materials discovery, Materials design, Multi-scale models
Journal
COMPUTATIONAL MATERIALS SCIENCE
Volume 161, Issue -, Pages 143-150
Publisher
Elsevier BV
Online
2019-02-02
DOI
10.1016/j.commatsci.2019.01.013

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

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

Create Now