Robotics & Machine Learning Daily News2024,Issue(Jan.5) :93-94.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.5) :93-94.

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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Abstract

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.”

Key words

Hyderabad/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Birla Institute of Technology and Science Pilani

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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