Applying machine learning to boost the development of high-performance membrane electrode assembly for proton exchange membrane fuel cells
Rui Ding, Yiqin Ding, Hongyu Zhang, Ran Wang, Zihan Xu, Yide Liu, Wenjuan Yin, Jiankang Wang, Jia Li, Jianguo Liu
Abstract
A comprehensive machine learning workflow consisting of feature selection, decision modeling, regression modeling, and extremum optimization was set up to give predictions based on big-data, bringing revolutionary changes to labor-intensive fields.
Topics & Concepts
WorkflowComputer scienceFeature selectionArtificial intelligenceSet (abstract data type)Feature (linguistics)Machine learningBig dataMembraneProton exchange membrane fuel cellFuel cellsChemical engineeringEngineeringData miningChemistryDatabaseProgramming languageBiochemistryLinguisticsPhilosophyFuel Cells and Related MaterialsElectrocatalysts for Energy ConversionMachine Learning in Materials Science