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对智能超材料和超材料智能指南
Chao Qian1,2, Ido Kaminer3, Hongsheng Chen4,5
1ZJU-UIUC Institute, Interdisciplinary Center for Quantum Information, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, China. chaoq@intl.zju.edu.cn.
Nature communications
|January 29, 2025
概括
人工智能 (AI) 和超材料正在融合,创造出智能超材料和超材料智能. 这种协同作用增强了电磁应用,如隐蔽和通信,为先进的基于波的计算铺平了道路.
科学领域:
- 探索智能超材料和超材料智能的跨学科领域.
- 专注于人工智能和电磁学的元材料之间的协同关系.
背景情况:
- 最近兴趣激增,原因是超材料和人工智能之间的双向相互作用.
- 人工智能在非线性拟合和概括方面的能力使其成为电磁模拟和计算的强大工具.
- 超材料为基于波的模拟计算提供了独特的电磁操纵.
研究的目的:
- 提供对智能超材料和超材料智能的最新进展的统一审查.
- 讨论人工智能在简化元材料设计,实现自主操作和发现新物理方面的作用.
- 为了分类和解释基于元材料的智能用于计算,检测和推断.
主要方法:
- 对智能元材料的光子设计中深度学习应用的审查.
- 分析超材料作为基于波的神经网络,数学和逻辑操作的平台.
- 讨论人工智能驱动的自动驾驶超材料应用.
主要成果:
- 人工智能,特别是深度学习,加速了超材料设计,并有助于发现潜在的物理.
- 超材料可以通过基于波的方法在物理空间中直接执行计算.
- 确定了三种类型的超物质智能:基于波的神经网络,数学和逻辑运算.
结论:
- 人工智能和元材料的整合有望在电磁应用和计算方面取得重大进展.
- 未来的方向包括解决数据策划,知识迁移和实际实施挑战.
- 最终的愿景是通过智能超材料全面管理电磁频谱.
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