人工智能辅助制备高质量的生物材料的研究进展
1Department of Law, College of Economics and Management; Department of Mechanical Engineering, College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing 100124, China.
ACS omega
|March 2, 2026
概括
人工智能 (AI) 和机器学习 (ML) 正在彻底改变生物材料的开发,从试错转向数据驱动的设计. 这些技术加速了先进生物材料的发现,优化和临床转化.
科学领域:
- 生物材料科学 生物材料科学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 生物材料的开发传统上依赖于经验方法.
- 一个向数据驱动,智能设计的范式转变正在进行中.
- 人工智能 (AI) 和机器学习 (ML) 是这一转变的关键推动者.
研究的目的:
- 系统地审查AI/ML在高质量的生物材料制备中的应用.
- 概述人工智能方法及其与生物材料数据的相关性.
- 检查AI在生物材料研发管道中的作用.
主要方法:
- 对AI/ML方法的审查,包括图形神经网络 (GNN) 和变压器.
- 在物业预测,反向设计和优化中分析AI应用.
- 检查展示AI增强方法的案例研究.
主要成果:
- 人工智能/机器学习显著加速生物材料设计效率和创新.
- 人工智能能够根据性能要求进行精确的属性预测和反向设计.
- 人工智能有助于快速优化材料配方和合成参数.
结论:
- 人工智能集成有望加速下一代生物材料的发现和临床转化.
- 解决数据稀缺,可解释性和验证等挑战至关重要.
- 未来的方向包括自主设计,智能制造和可持续发展.
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