首页|Reports Outline Machine Learning Study Findings from Shanghai Jiao Tong Universi ty (Discovery of a Ni-based Superalloy With Low Thermal Expansion Via Machine Le arning)
Reports Outline Machine Learning Study Findings from Shanghai Jiao Tong Universi ty (Discovery of a Ni-based Superalloy With Low Thermal Expansion Via Machine Le arning)
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New research on Machine Learning is th e subject of a report. According to news reporting originating from Shanghai, Pe ople's Republic of China, by NewsRx correspondents, research stated, "Traditiona l Ni-based superalloys are widely used due to their excellent high-temperature p erformance; however, their high thermal expansion at elevated temperatures limit s their further application in the modern aerospace industry. To discover Ni-bas ed superalloys with low thermal expansion for hightemperature environments, suc h as 900 degrees C. In this study, we developed a Support Vector Regression (SVR ) model with a high coefficient of determination (R2 = 0.84) to predict the coef ficient of thermal expansion (CTE) in Ni-based superalloys."
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