A prediction model for CO<sub>2</sub>/CO adsorption performance on binary alloys based on machine learning
Xiaofeng Cao, Wenjia Luo, Huimin Liu
Abstract
and CO, respectively. This model can be expected to advance our understanding of structure-property relationships at the fundamental level and be used in large-scale screening of alloy-based catalysts.
Topics & Concepts
AdsorptionBinary numberRange (aeronautics)Binary classificationMaterials scienceThermodynamicsComputer scienceArtificial intelligenceChemistryMathematicsPhysical chemistrySupport vector machinePhysicsComposite materialArithmeticCatalytic Processes in Materials ScienceCO2 Reduction Techniques and CatalystsMachine Learning in Materials Science