在材料设计中释放人工智能的力量
Silvia Badini1, Stefano Regondi1, Raffaele Pugliese1
1NeMO Lab, ASST GOM Niguarda Cà Granda Hospital, 20162 Milan, Italy.
Materials (Basel, Switzerland)
|September 9, 2023
概括
人工智能 (AI) 正在通过预测性能和设计比传统方法更快的新材料来改变材料工程. 人工智能加速了新材料的发现,为各种应用提供了最佳的性能.
科学领域:
- 材料科学与工程 材料科学与工程
- 计算材料科学科学 计算材料科学
背景情况:
- 传统的材料设计依赖于耗时的试错实验.
- 材料性能日益复杂,需要先进的计算方法.
- 人工智能 (AI) 提供了强大的工具来克服材料发现的这些局限性.
研究的目的:
- 概述材料设计中使用的当前最先进的AI模型.
- 为人工智能驱动的材料设计方法提供全面的概述.
- 突出AI在材料工程中的潜在未来前景和影响.
主要方法:
- 使用机器学习 (ML),深度学习和材料信息学工具.
- 从庞大的数据集中提取有意义的信息,以确定材料特性,结构和组成之间的相关性.
- 利用人工智能算法有效搜索和分析物质财产数据库.
主要成果:
- 人工智能算法预测材料特性,设计新型材料,并发现新的机制.
- 人工智能能够快速识别高质量的材料候选者,加速发现周期.
- 人工智能有助于发现材料数据中复杂的相关性和模式.
结论:
- 人工智能集成通过加速和丰富新材料的发现,彻底改变了材料工程.
- 人工智能驱动的方法使材料的设计能够为各种应用程序优化性能.
- 人工智能准备迎来材料科学和工程领域加速创新的新时代.
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