首页|Data on Artificial Intelligence Discussed by Researchers at Materials Physics Center (Transfer Learning-driven Artificial Intelligence Model for Glass Transition Temperature Estimation of Molecular Glass Formers Mixtures)
Data on Artificial Intelligence Discussed by Researchers at Materials Physics Center (Transfer Learning-driven Artificial Intelligence Model for Glass Transition Temperature Estimation of Molecular Glass Formers Mixtures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligence is the subject of a report. According to news reporting out of San Sebastian, Spain, by NewsRx editors, research stated, “Predicting binary mixtures’ glass tr ansition temperature ( T g ) is crucial in various fields, particularly for indu strial materials affected by this property during production processes and in se rvice-life. On the other hand, from the fundamental point of view, this predicti ve capability is relevant for understanding the chemical interactions between the two components and how this affects the Tg of the mixture.”
San SebastianSpainEuropeArtificial IntelligenceEmerging TechnologiesMachine LearningMaterials Physics Center
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