March 17, 2026 article Machine learning-driven approaches in electrochemical CO2 reduction: Bridging the gap between data and sustainable catalysis Coordination Chemistry Reviews DOI: 10.1016/j.ccr.2026.217850 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 4 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Electrolyte Effects on CO 2 Electrochemical Reduction to CO 2022 Accounts of Chemical Research article Energy CO2 Reduction Techniques and Catalysts Open access 487 citations 2023 Roadmap on molecular modelling of electrochemical energy materials 2023 Journal of Physics Energy article Materials Science Machine Learning in Materials Science Open access 40 citations A Data-Driven Framework for the Accelerated Discovery of CO2 Reduction Electrocatalysts 2021 Frontiers in Energy Research article Energy CO2 Reduction Techniques and Catalysts Open access 21 citations 3 results