首页|Reports on Machine Learning Findings from Iowa State University Provide New Insi ghts (Optimization of Structural and Electrical Properties of Graphene-based Tio 2 Thin Film Device Using Bayesian Machine-learning Approach)
Reports on Machine Learning Findings from Iowa State University Provide New Insi ghts (Optimization of Structural and Electrical Properties of Graphene-based Tio 2 Thin Film Device Using Bayesian Machine-learning Approach)
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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 to newsreporting from Ames, Iowa, by NewsRx journalists, research stated, “The optimization of laser -inducedgraphene (LIG) patterning is crucial for achieving desirable electronic properties in flexible electronic devices.In this study, we applied state-of-the-art automated parame ter optimization techniques, specificallyBayesian optimization, to enhance the electrical resistance of LIG patterns.”
AmesIowaUnited StatesNorth and Cen tral AmericaCyborgsEmerging TechnologiesMachine LearningIowa State Unive rsity
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