首页|Findings from State University of New York (SUNY) Stony Brook Provides New Data on Machine Learning (Utilizing Machine Learning To Model Interdependency of Bulk Molecular Weight, Solution Concentration, and Thickness of Spin Coated Polystyr ene ...)
Findings from State University of New York (SUNY) Stony Brook Provides New Data on Machine Learning (Utilizing Machine Learning To Model Interdependency of Bulk Molecular Weight, Solution Concentration, and Thickness of Spin Coated Polystyr ene ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Stony Brook, New York, by NewsRx correspondents, research stated, "Spin coating is a quick a nd inexpensive method to create nanometer-thick thin films of various polymers o n solid substrates." Our news editors obtained a quote from the research from the State University of New York (SUNY) Stony Brook, "Since the film thickness determines the mechanica l, optical, and degradation properties of the coating, it is essential to develo p a simple method to predict thickness based on other manipulatable factors. In this study, a three-dimensional manifold simultaneously relating initial solutio n concentration, film thickness, and monodisperse bulk molecular weight is devel oped utilizing curve-fit machine learning on a dataset of spin coated polystyren e samples."
Stony BrookNew YorkUnited StatesNo rth and Central AmericaBenzene DerivativesBenzylidene CompoundsCyborgsEm erging TechnologiesMachine LearningPolystyrenesStyrenesState University of New York (SUNY) Stony Brook
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