人工智能和可持续生物聚合物和生物启发材料的多尺度建模
Xing Quan Wang1, Zeqing Jin1, Dharneedar Ravichandran1
1Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA, 94709, USA.
Advanced materials (Deerfield Beach, Fla.)
|March 10, 2025
概括
生物聚合物和生物灵感材料通过等级结构提供了强度等先进性质. 人工智能增强了它们的功能,生物降解性和设计,以实现可持续的先进材料制造.
科学领域:
- 材料科学 材料科学 材料科学
- 生物材料工程 生物材料工程
- 纳米技术纳米技术
背景情况:
- 生物聚合物和生物启发材料具有等级结构,使其具有显著的性和耐损伤性.
- 这些材料利用从原子到宏观的多尺度组件组装,获得先进的性能.
研究的目的:
- 探索和总结生物聚合物和生物灵感材料在多个长度尺度上的功能和机制.
- 审查生物聚合物应用的建模方法,并强调人工智能在材料改进中的作用.
主要方法:
- 专注于生物聚合物纳米纤维配置,合成生物聚合物和生物灵感复合材料的文献综述.
- 在多个长度和时间尺度上分析理论建模方法.
- 强调人工智能驱动的材料表征,制造和设计的方法.
主要成果:
- 生物聚合物和生物启发材料表现出对材料性能至关重要的层次组织.
- 多尺度建模为理解和预测材料行为提供了理论基础.
- 人工智能为提高这些材料的功能,生物降解性,可持续性和设计提供了途径.
结论:
- 生物聚合物和生物灵感材料对于创建具有增强性质的先进材料具有多功能.
- 制造业的未来应用是有希望的,有可能对生命周期产生重大影响.
- 整合人工智能是释放这些可持续材料全部潜力的关键.
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