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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...

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相关实验视频

Updated: Jun 22, 2026

Diffuse Reflectance Infrared Spectroscopic Identification of Dispersant/Particle Bonding Mechanisms in Functional Inks
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数据驱动材料研究和开发用于功能性涂层.

Kai Xu1, Xuelian Xiao1,2, Linjing Wang1

  • 1Key Laboratory of Advanced Marine Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, 315201, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|September 19, 2024
PubMed
概括
此摘要是机器生成的。

数据驱动的方法通过确定材料特性和性能之间的相关性来加速功能性涂料的发现. 本综述强调了涂料数据驱动研发方面的进展,克服了传统的实验限制.

关键词:
人工智能的人工智能是人工智能.数据驱动的数据驱动.功能性涂层是一种功能性涂层.机器学习是机器学习.设计材料设计材料的设计.

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Surface Functionalization of Metal-Organic Frameworks for Improved Moisture Resistance
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Surface Functionalization of Metal-Organic Frameworks for Improved Moisture Resistance

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相关实验视频

Last Updated: Jun 22, 2026

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科学领域:

  • 材料科学 材料科学 材料科学
  • 表面工程是什么?表面工程是什么?
  • 计算材料科学科学 计算材料科学

背景情况:

  • 功能性涂料在各个行业中对于保护和独特的特性至关重要.
  • 传统的涂层设计依赖于耗时,多参数的实验.
  • 传统方法的局限性需要创新的研发策略.

研究的目的:

  • 总结功能性涂料数据驱动的研发 (R&D) 的最新进展.
  • 突出涂层科学中数据驱动方法的重要性,数据源,流程和应用.
  • 概述数据驱动的功能性涂层开发的潜在和未来方向.

主要方法:

  • 关于功能性涂料的数据驱动材料研发的最新文献的综述.
  • 讨论传统涂层设计方法的挑战.
  • 介绍典型的数据驱动过程及其在识别参数-性能相关性中的应用.

主要成果:

  • 数据驱动的方法可以有效地预测和设计功能性涂层.
  • 案例研究表明,在各种行业中,针对性涂层特性的加速发现.
  • 有助于识别输入参数与涂层性能之间的相关性.

结论:

  • 数据驱动的方法显著提高了功能性涂料研发的效率和有效性.
  • 集成先进的技术和多样化的数据源将推动未来的涂层设计创新.
  • 转向数据驱动材料科学的范式转变为开发下一代功能性涂层提供了巨大的潜力.