首页|New Findings from Montan University Update Understanding of Machine Learning (Ma chine Learning Assisted Calibration of Pvt Simulations for Sic Crystal Growth)
New Findings from Montan University Update Understanding of Machine Learning (Ma chine Learning Assisted Calibration of Pvt Simulations for Sic Crystal Growth)
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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 originating in Leoben, Aust ria, by NewsRx journalists, research stated, “Numerical simulationsare frequent ly utilized to investigate and optimize the complex and hardly in situ examinabl e PhysicalVapor Transport (PVT) method for SiC single crystal growth. Since var ious process and quality-relatedaspects, including growth rate and defect forma tion, are strongly influenced by the thermal field, accuratelyincorporating tem perature-influencing factors is essential for developing a reliable simulation m odel.”
LeobenAustriaEuropeCrystal GrowthCyborgsEmerging TechnologiesHealth and MedicineMachine LearningMontan U niversity
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