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Updated: May 13, 2026

Advanced Compositional Analysis of Nanoparticle-polymer Composites Using Direct Fluorescence Imaging
07:41

Advanced Compositional Analysis of Nanoparticle-polymer Composites Using Direct Fluorescence Imaging

Published on: July 19, 2016

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深度学习辅助的形态细分用于有效的粒子面积估计和预测聚合物复合材料的界面特性

R Mohsenzadeh1, B H Soudmand2, A H Najafi3

  • 1Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, 1435761137, Iran. r_mohsenzadeh@tvu.ac.ir.

Nanoscale
|October 29, 2024
PubMed
概括

了解聚合物纳米复合材料中的纳米粒子分散是关键. 本研究引入了一种自动化的深度学习方法来量化分散,将其与材料属性联系起来,并改进预测模型.

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Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives

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相关概念视频

Classification and Mechanical Properties of Synthetic Polymers01:28

Classification and Mechanical Properties of Synthetic Polymers

Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...