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A hybrid machine learning-genetic algorithm (ML-GA) model to predict optimal process parameters of nanoporous Cu for CO2 reduction

Jun Yi Lok, Wen-Han Tsai, I‐Chung Cheng

2023Materials Today Energy21 citationsDOI

Topics & Concepts

NanoporousMaterials scienceGenetic algorithmElectrodeReduction (mathematics)Machine learningProcess (computing)Biological systemAlgorithmComputer scienceNanotechnologyMathematicsChemistryGeometryOperating systemPhysical chemistryBiologyCO2 Reduction Techniques and CatalystsElectrocatalysts for Energy ConversionIonic liquids properties and applications
A hybrid machine learning-genetic algorithm (ML-GA) model to predict optimal process parameters of nanoporous Cu for CO2 reduction | Litcius