Artificial Intelligence at the Intersection of Chemistry and Materials Science
Abstract
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.
Fields of Study & Subjects
Metal-Organic Frameworks: Synthesis and Applications
Machine Learning in Materials Science
Nanocluster Synthesis and Applications
Publication details
- Journal / source
- AI
- Publisher
- MDPI AG
- Volume
- 7
- Issue
- 3
- Pages
- 89–89
- Publication date
- 2 March 2026
- Language
- EN