首页|New Machine Learning Study Findings Reported from Technical University of Denmark (DTU) (Machine Learning Guided Development of High-performance Nano-structured Nickel Electrodes for Alkaline Water Electrolysis)
New Machine Learning Study Findings Reported from Technical University of Denmark (DTU) (Machine Learning Guided Development of High-performance Nano-structured Nickel Electrodes for Alkaline Water Electrolysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have been published. According to news originating fromLyngby, Denmark, by NewsRx correspondents, research stated, “Utilizing a human in the loop Bayesianoptimisation paradigm based on Gaussian process regression, we opti-mized an Ni electrodeposition methodto synthesize nano-structured, high-performance hydrogen evolution reaction electrodes. Via explorationexploitationstages, the synthesis process variables current density, tem-perature, ligand concentration anddeposition time were optimized influencing the deposition layer morphology and, consequently, hydrogenevolution reaction activity.”
LyngbyDenmarkEuropeCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningNanotechnologyTechnical University of Denmark (DTU)
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