首页|Researchers at Iowa State University Target Machine Learning (Elucidating Twinni ng Mechanisms In Cdte Homoepitaxial Film Growth From Machine Learning Force Fiel d Molecular Dynamics Simulations)
Researchers at Iowa State University Target Machine Learning (Elucidating Twinni ng Mechanisms In Cdte Homoepitaxial Film Growth From Machine Learning Force Fiel d Molecular Dynamics Simulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Machine Learning are discuss ed in a new report. According to news reportingfrom Ames, Iowa, by NewsRx journ alists, research stated, “The process of twinning formation during thegrowth of semiconductor thin films, particularly in CdTe homoepitaxial films, is a comple x phenomenonthat has eluded comprehensive understanding. Here, this study inves tigated the growth dynamics of CdTehomoepitaxial films on (111) Cd- and Te-term inated surfaces across a range of substrate temperatures.”
AmesIowaUnited StatesNorth and Cen tral AmericaCyborgsEmerging TechnologiesMachine LearningMolecular Dynami csPhysicsIowa State University
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