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AI-Based Metamaterial Design
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DOI：10.1021/acsami.4c04486.png)
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摘要
En 中文
The use of metamaterials in various devices has revolutionized applications in optics, healthcare, acoustics, and power systems. Advancements in these fields demand novel or superior metamaterials that can demonstrate targeted control of electromagnetic, mechanical, and thermal properties of matter. Traditional design systems and methods often require manual manipulations which is time-consuming and resource intensive. The integration of artificial intelligence (AI) in optimizing metamaterial design can be employed to explore variant disciplines and address bottlenecks in design. AI-based metamaterial design can also enable the development of novel metamaterials by optimizing design parameters that cannot be achieved using traditional methods. The application of AI can be leveraged to accelerate the analysis of vast data sets as well as to better utilize limited data sets via generative models. This review covers the transformative impact of AI and AI-based metamaterial design for optics, acoustics, healthcare, and power systems. The current challenges, emerging fields, future directions, and bottlenecks within each domain are discussed.
Keyword:
artificial intelligence (AI)
metamaterials
biomedical diagnostics
point-of-care
wearablesensors
optics
acoustics
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.2
论文数:
6.1W
被引数:
38.7W
机构
引用论文
Artificial intelligence-enabled smart mechanical metamaterials: advent and future trends人工智能支持的智能机械超材料: 出现和未来趋势OAAI
OAAI分享收藏Multi-material additive manufacturing: A systematic review of design, properties, applications, challenges, and 3D printing of materials and cellular metamaterials多材料增材制造: 材料和细胞超材料的设计，性能，应用，挑战和3D打印的系统回顾.png)
MATERIALS & DESIGNOAAI
MATERIALS & DESIGNIF7.9
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