首页|Reports from IMDEA Materials Institute Advance Knowledge in Machine Learning (Facilitating Polymer Property Prediction With Machine Learning and Group Interaction Modelling Methods)
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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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.”
MadridSpainEuropeCyborgsEmerging TechnologiesMachine LearningIMDEA Materials Institute
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