Algorithm accurately predicts mechanical properties of existing and theoretical MOFs

A machine learning algorithm that can predict the mechanical properties of metal–organic frameworks (MOFs) offers a way to overcome these highly varied and versatile materials’ Achilles heel – their instability.¹ The team behind this work hope that this computational tool will speed up acceptance of these materials by industry.