人工智能赋权新材料:发现,合成,预测到验证.
Ying Cao1,2, Hong Fu3, Jian Lu1
1Nanotechnology Center, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong, 999077, People's Republic of China.
Nano-micro letters
|January 9, 2026
概括
人工智能 (AI) 正在通过加速新材料的发现和提高对现有材料的理解来彻底改变材料科学. 这篇评论详细介绍了用于材料发现,合成和预测的AI系统.
科学领域:
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
- 计算化学的计算化学
背景情况:
- 人工智能 (AI) 已经成为材料发现的变革力量.
- 人工智能有助于预测材料特性,可塑性,并指导实验合成.
- 进步是由不断增加的数据库大小和增强的计算能力驱动的.
研究的目的:
- 系统地审查人工智能赋权的材料科学,重点关注新材料的发现和现有材料的认知.
- 对智能系统的先进设计进行反思,用于材料发现,合成,预测和验证.
- 概述人工智能在材料科学中的未来方向.
主要方法:
- 对材料科学当前人工智能方法的审查.
- 对人工智能系统设计的分析,包括数据,机器学习和自动化实验室.
- 总结了开发材料高性能AI系统的战略.
主要成果:
- 人工智能显著加速了新材料的发现和设计.
- 人工智能增强了对现有材料的深入理解和认知.
- 正在开发智能系统,用于全面的材料生命周期管理.
结论:
- 人工智能是推动材料科学发展的强大工具,既能快速发现,又能更深入地理解.
- 材料科学中的未来人工智能系统可能会更复杂地整合数据和自动化.
- 人工智能的持续发展对于释放新的材料潜力和应用至关重要.
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