Machine learning advances materials for separations, adsorption and catalysis

An artificial intelligence technique—machine learning—is helping accelerate the development of highly tunable materials known as metal-organic frameworks (MOFs) that have important applications in chemical separations, adsorption, catalysis, and sensing.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3lgkKC0
SHARE
    Blogger Comment
    Facebook Comment

0 comments:

Post a Comment