Machine learning-driven approaches in electrochemical CO2 reduction: Bridging the gap between data and sustainable catalysis

Coordination Chemistry Reviews 2026

View at publisher
Authors: Usman Ahmad Baba, Omer Ahmed Taialla, Basiru O.Yusuf, Umar Musa Jafar, Idriss Bamidele Musba'u, Arafat Dzarma Idris, Khalid Alhooshani, Saheed A. Ganiyu, Mustapha Umar, Sani Mohammed Isyaka
DOI: 10.1016/j.ccr.2026.217850
Cited by: 3
References: 207

Fields of Study & Subjects

CO2 Reduction Techniques and Catalysts Machine Learning in Materials Science Ammonia Synthesis and Nitrogen Reduction

Publication details

Journal / source
Coordination Chemistry Reviews
Publisher
Elsevier BV
Volume
559
Pages
217850–217850
Publication date
17 March 2026
Language
EN