Integration of machine learning approaches for accelerated discovery of transition-metal dichalcogenides as Hg0 sensing materials

Title
Integration of machine learning approaches for accelerated discovery of transition-metal dichalcogenides as Hg0 sensing materials
Authors
Keywords
-
Journal
APPLIED ENERGY
Volume 254, Issue -, Pages 113651
Publisher
Elsevier BV
Online
2019-09-13
DOI
10.1016/j.apenergy.2019.113651

Ask authors/readers for more resources

Create your own webinar

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

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started