Machine Learning Tool Helps Speed the Discovery of MOF Materials

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...
EurekAlert!

New tool narrows the search for ideal material structures

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...
C&EN

This machine learning model takes MOF simulations to the next level

A new study presented at the ACS Spring 2023 meeting shows how the powerful computational techniques behind artificial intelligence tools such as ChatGPT can help chemists train machines to better ...
Nanowerk

Machine-learning helps sort out massive MOF materials' databases

As a result, MOFs are extremely versatile and find multiple uses: separating petrochemicals and gases, mimicking DNA, producing hydrogen, and removing heavy metals, fluoride anions, and even gold from ...