Scientists use machine learning and HiTp to speed discovery of metallic glasses by 200 times; approach applicable to other materials

Green Car Congress
By mmillikinApr 17, 2018, 8:15 am519 ptsHot
Researchers at SLAC and their colleagues at Northwestern University and NIST have combined machine learning (ML) and high-throughput (HiTp) experiments to find a new system of metallic glasses in the Co-V-Zr ternary. In their approach, described in an open-access paper in Science Advances, the team trained a…

Read Article Share
Share Article
- email
- x.com
- facebook
- pocket
- reddit
- tumblr
- linkedin
- pinterest

Trending Today on EcoTopical

The ocean is fighting climate change: How people are trying to help it 111

Indonesia’s EV Transition Not Just to Cut Emissions, More So to Cut Oil Dependence, Study Says 100

Philippines’ First Offshore Wind Zones Could Generate 11 TWh A Year, But When? 97

Heavy Atlantic rain can block African aerosols from fertilizing Amazon, study finds 76

Tesla Model Y L. Why Would You Pick The Y? 27

About EcoTopical

Welcome to EcoTopical Your daily eco-friendly green news aggregator.

Leaf through planet Earths environmental headlines in one convenient place. Read, share and discover the latest on ecology, science and green living from the web's most popular sites.