{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Halilu A"],"funding":["Researchers Supporting Project , Saudi Arabia","CESDE-Ng Fundamental Research"],"pagination":["24757"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11494191"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["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 (CO<sub>2</sub>RR) in DEEs with a buffer capacity of approximately 10.21 mol/pH. The objective is to minimize undesired hydrogen evolution reactions (HER) and render CO<sub>2</sub>RR dominant in a membrane cell. The CO<sub>2</sub>RR process was found to be non-adiabatic, as the time of nuclear motion for CO<sub>3</sub><sup>2-</sup> in K<sub>2</sub>CO<sub>3</sub> product, through CO<sub>2</sub><sup>●-</sup> trapping, is 0.368 femtoseconds shorter than the 1.856 × 10<sup>-3</sup>s charge transfer relaxation time. Microkinetic analysis reveals that the rate of CO<sub>2</sub>"],"journal":["Scientific reports"],"pubmed_title":["Reaching machine learning leverage to advance performance of electrocatalytic CO&lt;sub&gt;2&lt;/sub&gt; conversion in non-aqueous deep eutectic electrolytes."],"pmcid":["PMC11494191"],"funding_grant_id":["CESDEN-FR-2023-2024","RSP2024R361"],"pubmed_authors":["Halilu A","Ali EM","Hadj-Kali MK","Bhargava S","Hashim MA","Hizaddin HF"],"additional_accession":[]},"is_claimable":false,"name":"Reaching machine learning leverage to advance performance of electrocatalytic CO&lt;sub&gt;2&lt;/sub&gt; conversion in non-aqueous deep eutectic electrolytes.","description":"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 (CO<sub>2</sub>RR) in DEEs with a buffer capacity of approximately 10.21 mol/pH. The objective is to minimize undesired hydrogen evolution reactions (HER) and render CO<sub>2</sub>RR dominant in a membrane cell. The CO<sub>2</sub>RR process was found to be non-adiabatic, as the time of nuclear motion for CO<sub>3</sub><sup>2-</sup> in K<sub>2</sub>CO<sub>3</sub> product, through CO<sub>2</sub><sup>●-</sup> trapping, is 0.368 femtoseconds shorter than the 1.856 × 10<sup>-3</sup>s charge transfer relaxation time. Microkinetic analysis reveals that the rate of CO<sub>2</sub>","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2025-04-04T01:11:21.369Z","creation":"2025-04-04T01:11:21.369Z"},"accession":"S-EPMC11494191","cross_references":{"pubmed":["39433823"],"doi":["10.1038/s41598-024-74893-5"]}}