首页|Investigators at University of Adelaide Discuss Findings in Machine Learning (Ma chine Learning-driven Selection of Two-dimensional Carbon-based Supports for Dua l-atom Catalysts In Co2 Electroreduction)
Investigators at University of Adelaide Discuss Findings in Machine Learning (Ma chine Learning-driven Selection of Two-dimensional Carbon-based Supports for Dua l-atom Catalysts In Co2 Electroreduction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Machine Learn ing have been published. According tonews reporting from Adelaide, Australia, b y NewsRx journalists, research stated, "The electrocatalyticreduction of carbon dioxide by metal catalysts featuring dual-atomic active sites, supported on two -dimensional carbon-nitrogen materials, holds promise for enhanced efficiency. T he potential synergybetween various support materials and transition metal comp ositions in influencing reaction performancehas been recognized."Funders for this research include Australian Research Council, University of Ade laide, Center for AugmentedReasoning, Australian Institute for Machine Learning , University of Adelaide, as part of the Wiley- The University of Adelaide agre ement via the Council of Australian University Librarians.
AdelaideAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine LearningUniversity of Adelaide
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