人工智能驱动的聚合物涂层:结构应用中的材料选择和性能评估策略
1Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Republic of Korea.
Polymers
|January 10, 2026
概括
人工智能 (AI) 正在彻底改变结构材料的聚合物涂层. 人工智能加速材料的发现,性能预测和检查,从而产生更耐用,功能和可持续的涂层.
科学领域:
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
- 计算机科学 计算机科学
背景情况:
- 聚合物涂层对于保护结构材料免受环境退化至关重要.
- 传统的涂层开发方法往往耗时且资源密集.
- 人工智能 (AI) 的进步为材料工程提供了新的范式.
研究的目的:
- 为结构应用中聚合物涂层的AI驱动策略提供全面的审查.
- 要突出人工智能技术的整合,如机器学习和计算机视觉在涂层设计.
- 讨论AI在开发具有增强性能的先进涂层方面的潜力.
主要方法:
- 对AI应用在聚合物涂料中的最新文献的综述.
- 分析人工智能辅助的材料选择,性能预测和智能评估系统.
- 对自我愈合,智能和可持续涂料的案例研究进行了审查.
主要成果:
- 人工智能能够通过数据驱动发现新型聚合物涂层材料.
- 预测模型提高了对涂层降解机制 (腐蚀,疲劳) 的理解.
- 智能评估系统提高了检查效率和准确性.
结论:
- 人工智能集成正在改变聚合物涂料的设计和应用.
- 未来的研究应该集中在可解释的人工智能,自主系统和循环经济原则上的涂层开发.
- 解决数据稀缺性和模型可解释性等挑战是广泛采用人工智能的关键.
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