Robotics & Machine Learning Daily News2024,Issue(Jan.5) :38-38.

Reports from IMDEA Materials Institute Advance Knowledge in Machine Learning (Facilitating Polymer Property Prediction With Machine Learning and Group Interaction Modelling Methods)

Robotics & Machine Learning Daily News2024,Issue(Jan.5) :38-38.

Reports from IMDEA Materials Institute Advance Knowledge in Machine Learning (Facilitating Polymer Property Prediction With Machine Learning and Group Interaction Modelling Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting out of Madrid, Spain, by NewsRx editors, research stated, “Identification of a suitable polymermaterial for a given application requires information about the properties and behavior of the material,which is time-consuming and costly to measure experimentally. In this study, we explore two computationalalternatives; namely, group interaction modelling (GIM) and Machine Learning (ML) approaches, as twoavenues for predicting six different thermal and mechanical properties of polymers.”

Key words

Madrid/Spain/Europe/Cyborgs/Emerging Technologies/Machine Learning/IMDEA Materials Institute

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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