Robotics & Machine Learning Daily News2024,Issue(Jun.12) :40-41.

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)

材料物理中心研究人员讨论的人工智能数据(传递学习驱动的人工智能模型用于预测分子玻璃成形剂混合物的玻璃化转变温度)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :40-41.

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)

材料物理中心研究人员讨论的人工智能数据(传递学习驱动的人工智能模型用于预测分子玻璃成形剂混合物的玻璃化转变温度)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx编辑在西班牙San Sebastian的新闻报道,研究表明,“预测二元混合物的玻璃转变温度(Tg)在各个领域都是至关重要的,特别是对于在生产过程和使用寿命中受到这种性质影响的工业材料。另一方面,从基本观点来看,这种预测能力与了解两种组分之间的化学相互作用以及这如何影响混合物的Tg有关。

Abstract

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.”

Key words

San Sebastian/Spain/Europe/Artificial Intelligence/Emerging Technologies/Machine Learning/Materials Physics Center

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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