Machine-learning analysis of X-ray data picks out key catalytic properties

ScienceDaily
Oct 22, 2019, 5:44 pm153 pts
Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the…

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

Trending Today on EcoTopical

Researchers uncover the source of widespread 'forever chemical' contamination in North Carolina 129

UK wind farms generate a record 22.7 GW of power on a single day 128

Experts urge canceling fossil fuel contracts to meet Paris climate goals 127

All flow directions scheme can boost weather forecast accuracy in complex terrain 124

USC Study Links Ultra-processed Food Intake to Prediabetes in Young Adults 122

For sharks on the brink of extinction, CITES Appendix II isn’t protective enough (commentary) 120

Inside California’s race to document its insects: A conversation with Chris Grinter 119

EQORE bags $1.7M to bring smart storage to power-hungry factories 119

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.