首页|Studies Conducted at Birla Institute of Technology and Science Pilani on Machine Learning Recently Reported (Explainability and Extrapolation of Machine Learning Models for Predicting the Glass Transition Temperature of Polymers)
Studies Conducted at Birla Institute of Technology and Science Pilani on Machine Learning Recently Reported (Explainability and Extrapolation of Machine Learning Models for Predicting the Glass Transition Temperature of Polymers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Hyderabad, India, by NewsRx correspondents, research stated, “Machine learning (ML)offers promising tools to develop surrogate models for polymers’ structure-property relations. Surrogatemodels can be built upon existing polymer data and are useful for rapidly predicting the properties ofunknown polymers.”
HyderabadIndiaAsiaCyborgsEmerging TechnologiesMachine LearningBirla Institute of Technology and Science Pilani
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