化学机械平面化
过程(计算)
计算机科学
系统工程
领域(数学)
钥匙(锁)
抛光
过程建模
纳米技术
过程控制
化学过程
机械工程
工程类
材料科学
动力学(音乐)
微电子机械系统
系统动力学
实体造型
数据建模
作者
Ying Geng,Guoyan Sun,Sheng Wang,Qingliang Zhao
标识
DOI:10.1016/j.cjme.2025.100165
摘要
Chemical mechanical polishing (CMP) is a critical process in precision manufacturing, providing the planarization and defect control essential for applications in semiconductors, optics, advanced materials, and nanotechnology. It underpins the fabrication of integrated circuits, microelectromechanical systems, and high-performance optical components. As device architectures become increasingly complex and incorporate diverse material systems, understanding the temporal dynamics of material removal rates and the spatial evolution of surface topography has become indispensable. This review offers a comprehensive synthesis of progress in CMP, focusing on the mechanisms governing material removal, advancements in modeling the temporal distribution of material removal rates, and the spatial distribution of surface topography. Existing models are critically evaluated to identify their assumptions, limitations, and practical implications. A unified framework is proposed to integrate temporal and spatial dynamics, providing actionable insights for process optimization. By addressing key challenges and exploring future directions, this review aims to advance CMP modeling methodologies, equipping the field to meet the evolving demands of semiconductor technology and other precision engineering disciplines.
科研通智能强力驱动
Strongly Powered by AbleSci AI