首页|Findings from Royal Melbourne Institute of Technology - RMIT University in the Area of Machine Learning Reported (Graphenebased Phononic Crystal Lenses: Machine Learning-assisted Analysis and Design)
Findings from Royal Melbourne Institute of Technology - RMIT University in the Area of Machine Learning Reported (Graphenebased Phononic Crystal Lenses: Machine Learning-assisted Analysis and Design)
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Researchers detail new data in Machine Learning. According to news originating from Bundoora, Australia, by NewsRx correspondents, research stated, “The advance of artificial intelligence and graphene-based composites brings new vitality into the conventional design of acoustic lenses which suffers from high computation cost and difficulties in achieving precise desired refractive indices. This paper presents an efficient and accurate design methodology for graphene-based gradient-index phononic crystal (GGPC) lenses by combing theoretical formulations and machine learning methods.” Financial supporters for this research include Australian Research Council, China Scholarship Council. Our news journalists obtained a quote from the research from the Royal Melbourne Institute of Technology - RMIT University, “The GGPC lenses consist of two-dimensional phononic crystals possessing square unit cells with graphene-based composite inclusions. The plane wave expansion method is exploited to obtain the dispersion relations of elastic waves in the structures and then establish the data sets of the effective refractive indices in structures with different volume fractions of graphene fillers in composite materials and filling fractions of inclusions. Based on the database established by the theoretical formulation, genetic programming, a superior machine learning algorithm, is introduced to generate explicit mathematical expressions to predict the effective refractive indices under different structural information. The design of GGPC lenses is conducted with the assistance of the machine learning prediction model, and it will be illustrated by several typical design examples.”
BundooraAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningRoyal Melbourne Institute of Technology - RMIT University