Machine learning guided discovery of water stable metal–organic frameworks for photocatalytic hydrogen production
Abstract
A hierarchical machine learning strategy is developed to accelerate the discovery of photocatalytically active MOFs with robust water stability for hydrogen production.
Fields of Study & Subjects
Metal-Organic Frameworks: Synthesis and Applications
Advanced Photocatalysis Techniques
Covalent Organic Framework Applications
Publication details
- Journal / source
- Chemical Science
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 17
- Issue
- 11
- Pages
- 5376–5386
- Publication date
- 1 January 2026
- Language
- EN