Facet-dependent selectivity in Fischer-Tropsch synthesis facilitated by a hybrid DFT-machine learning approach
Fields of Study & Subjects
Catalysts for Methane Reforming
Machine Learning in Materials Science
Ammonia Synthesis and Nitrogen Reduction
Publication details
- Journal / source
- Journal of Catalysis
- Publisher
- Elsevier BV
- Volume
- 458
- Pages
- 116873–116873
- Publication date
- 10 April 2026
- Language
- EN