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von Zuben, Theodora Wrobel, Salles, Airton Gonçalves, Bonacin, Juliano Alves, Barbon, Sylvio (2025) Machine learning predictions of onset and oxidation potentials for methanol and ethanol electrooxidation: Comprehensive analysis and experimental validation. Electrochimica Acta, 509. doi:10.1016/j.electacta.2024.145285

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning predictions of onset and oxidation potentials for methanol and ethanol electrooxidation: Comprehensive analysis and experimental validation
JournalElectrochimica Acta
Authorsvon Zuben, Theodora WrobelAuthor
Salles, Airton GonçalvesAuthor
Bonacin, Juliano AlvesAuthor
Barbon, SylvioAuthor
Year2025 (January)Volume509
PublisherElsevier BV
DOIdoi:10.1016/j.electacta.2024.145285Search in ResearchGate
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Mindat Ref. ID17681737Long-form Identifiermindat:1:5:17681737:6
GUID0
Full Referencevon Zuben, Theodora Wrobel, Salles, Airton Gonçalves, Bonacin, Juliano Alves, Barbon, Sylvio (2025) Machine learning predictions of onset and oxidation potentials for methanol and ethanol electrooxidation: Comprehensive analysis and experimental validation. Electrochimica Acta, 509. doi:10.1016/j.electacta.2024.145285
Plain Textvon Zuben, Theodora Wrobel, Salles, Airton Gonçalves, Bonacin, Juliano Alves, Barbon, Sylvio (2025) Machine learning predictions of onset and oxidation potentials for methanol and ethanol electrooxidation: Comprehensive analysis and experimental validation. Electrochimica Acta, 509. doi:10.1016/j.electacta.2024.145285
In(2025) Electrochimica Acta Vol. 509. Elsevier BV

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