在人工智能时代,光子结构在合晶体中的自我组织
Neha Yadav1, Mingming Liu1, Yongling Wu1
1Center for Advanced Laser Manufacturing (CALM), Shandong University of Technology Zibo 255000 P. R. China zhenghongyu@sdut.edu.cn ashish@sdut.edu.cn.
Nanoscale advances
|September 15, 2025
概括
人工智能 (AI) 正在彻底改变智能工程光子材料,使光的先进控制成为可能. 人工智能驱动的纳米光子晶体 (nano-PhCs) 制造提高了用于能源采集和人工智能应用的光学性能.
科学领域:
- 光子学和材料科学 材料科学
- 人工智能的人工智能
- 纳米科学和纳米技术
背景情况:
- 智能设计的光子材料为光的操纵和传播提供了前所未有的控制.
- 人工智能 (AI) 是推动这些材料的关键驱动力,包括光子晶体 (PhC),等离子组件和光学超材料.
- PhC值得注意的是自组装,光子带隙,高反射率/透射率,低损耗和可见范围激光.
研究的目的:
- 审查制造纳米光子晶体 (纳米PhCs) 的最新人工智能技术.
- 阐明AI在纳米-PhC制造过程中的特定作用.
- 讨论人工智能制造的纳米-PhCs的潜在应用,特别是在能源采集和人工智能方面.
主要方法:
- 探索使用纳米科学和纳米技术,为3D-PhCs开发新的,具有成本效益的制造方法.
- 将人工智能技术集成到制造工作流程中,用于纳米-PhC开发.
- 对人工智能驱动的材料设计和合成方法的审查.
主要成果:
- 人工智能在开发具有增强光学和激光性能的先进纳米-PhC中发挥着关键作用.
- 人工智能促进了微型光电子系统的创建,提高了测量可靠性.
- 人工智能有助于成本效益和可扩展的复杂光子结构的制造.
结论:
- 人工智能正在改变智能工程光子材料领域,特别是在纳米-PhC制造方面.
- 人工智能制造的纳米-PhC显示出对能源采集和人工智能应用的重大前景.
- 人工智能的持续进步预计将进一步推动光子材料能力的边界.
相关概念视频
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