MOFsdesigned
MOFsdesigned is a software tool designed to assist researchers in the field of metal-organic frameworks (MOFs) by providing a platform for the automated design of MOF structures. Developed by the Materials Design Lab at the University of California, Irvine, MOFsdesigned leverages machine learning algorithms to predict the stability and properties of MOF candidates, significantly accelerating the discovery process.
The software employs a combination of data-driven approaches and physical models to generate and evaluate potential
One of the key features of MOFsdesigned is its ability to handle large datasets efficiently. By utilizing
MOFsdesigned is not just a design tool; it also provides insights into the underlying principles governing
The software is continuously updated to incorporate the latest research findings and technological advancements, ensuring that