Artificial Intelligence at the Intersection of Chemistry and Materials Science

Research on metal–organic frameworks (MOFs) bridges the fields of chemistry and materials science. MOFs consist of metal ions linked together by long organic molecules. These materials are known for their high porosity and large surface area, with numerous applications ranging from storage of various gases to medical uses. Recent developments show that artificial intelligence (AI) is revolutionizing the discovery and design of MOFs. Despite these advancements in AI-driven approaches in MOFs, many challenges remain in processes such as data quality assurance and experimental validation. In this perspective, we highlight recent progress in MOFs and discuss the role of AI in this truly interdisciplinary field.

Preparing paper insights from the available abstract and paper details.

Authors

Tomas Gregan; Juraj Gregan

Published

Mar 2, 2026

Journal or venue

AI

DOI

10.3390/ai7030089

Paper type

journal article

Source

Crossref