对于紧密互联的智能系统,单立体3D集成逻辑,电源和光电子技术的进展和未来挑战.
Haksoon Jung1, Joonghoon Choi2, Seunghun Baek3
1Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Eonyang-eup, Ulju-gun, Ulsan 44919, Republic of Korea.
ACS nano
|February 18, 2026
概括
高性能计算需要先进的集成. 与二维材料和光子互连的单立体3D集成为下一代AI硬件提供了解决方案,解决了带宽和热挑战.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算机工程 计算机工程
背景情况:
- 人工智能硬件需要高性能异质集成.
- 为了最大限度地提高计算能力,需要通过先进的互连来实现高数据带宽.
- 与2D材料的单立体3D (M3D) 集成为逻辑和内存提供了密集的垂直堆叠.
研究的目的:
- 审查M3D集成,2D材料和光子互连的融合,以实现下一代计算.
- 突出材料兼容性,工艺可扩展性和系统级代码设计方面的挑战.
- 概述未来计算和通信系统的统一框架.
主要方法:
- 审查目前在M3D集成和2D材料的研究.
- 对光子集成电路进行低延迟,节能通信的分析.
- 讨论新兴概念,如可调节的光探测器和堆叠的收发器.
主要成果:
- 通过M3D集成,可以实现紧的垂直堆叠,使用超密集的中间层.
- 光子集成电路在更长的通信距离上克服了电气带宽限制.
- 新兴的光子概念通过减少对外部激光器的依赖来提高可扩展性.
结论:
- 通过电热分析和代码设计解决热管理对于M3D架构至关重要.
- 整合M3D,2D材料和光子学提供了一条超越传统缩量的道路.
- 克服材料兼容性,可扩展性和代码设计的挑战对于实现下一代系统至关重要.
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