biostudies-literatureHalilu AResearchers Supporting Project , Saudi ArabiaCESDE-Ng Fundamental Research24757https://www.ebi.ac.uk/biostudies/studies/S-EPMC11494191biostudies-literatureUnknown14(1)Deep eutectic electrolytes (DEEs) show promise for future electrochemical systems due to their adjustable buffer capacities. This study utilizes machine learning algorithms to analyse the carbon dioxide reduction reaction (CO₂RR) in DEEs with a buffer capacity of approximately 10.21 mol/pH. The objective is to minimize undesired hydrogen evolution reactions (HER) and render CO₂RR dominant in a membrane cell. The CO₂RR process was found to be non-adiabatic, as the time of nuclear motion for CO₃^2- in K₂CO₃ product, through CO₂^●- trapping, is 0.368 femtoseconds shorter than the 1.856 × 10^-3s charge transfer relaxation time. Microkinetic analysis reveals that the rate of CO₂Scientific reportsReaching machine learning leverage to advance performance of electrocatalytic CO<sub>2</sub> conversion in non-aqueous deep eutectic electrolytes.PMC11494191CESDEN-FR-2023-2024RSP2024R361Halilu AAli EMHadj-Kali MKBhargava SHashim MAHizaddin HFfalseReaching machine learning leverage to advance performance of electrocatalytic CO<sub>2</sub> conversion in non-aqueous deep eutectic electrolytes.Deep eutectic electrolytes (DEEs) show promise for future electrochemical systems due to their adjustable buffer capacities. This study utilizes machine learning algorithms to analyse the carbon dioxide reduction reaction (CO₂RR) in DEEs with a buffer capacity of approximately 10.21 mol/pH. The objective is to minimize undesired hydrogen evolution reactions (HER) and render CO₂RR dominant in a membrane cell. The CO₂RR process was found to be non-adiabatic, as the time of nuclear motion for CO₃^2- in K₂CO₃ product, through CO₂^●- trapping, is 0.368 femtoseconds shorter than the 1.856 × 10^-3s charge transfer relaxation time. Microkinetic analysis reveals that the rate of CO₂2024-01-01T00:00:00Z2024 Oct2025-04-04T01:11:21.369Z2025-04-04T01:11:21.369ZS-EPMC114941913943382310.1038/s41598-024-74893-5