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Updated: Jul 26, 2025

A Testing Platform for Durability Studies of Polymers and Fiber-reinforced Polymer Composites under Concurrent Hygrothermo-mechanical Stimuli
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高通量选和预测高模块的弹性聚合物使用可解释的机器学习

Tianle Yue1, Jinlong He1, Lei Tao2

  • 1Department of Mechanical Engineering, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States.

Journal of chemical theory and computation
|June 20, 2023
PubMed
概括

我们开发了一种机器学习 (ML) 方法,以发现具有高弹性模量 (R) 的聚合物. 该方法使用ML预测和分子动力学 (MD) 模拟来识别具有增强弹性能量存储和释放能力的新材料.

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Polymer Classification: Architecture

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