化学机械平面化
密度泛函理论
分子动力学
计算机科学
薄脆饼
从头算
抛光
力场(虚构)
材料科学
纳米技术
统计物理学
计算科学
计算化学
化学
物理
人工智能
量子力学
复合材料
作者
Bin Hu,Xinhuan Niu,Jiakai Zhou,Changxin Dong,Chao He,Xinjie Li,Zheng Wu,Jiahui Li
摘要
Chemical mechanical polishing (CMP) is a critical planarization technique that combines chemical reactions and mechanical grinding. However, analyzing its underlying mechanisms at the microscopic level, particularly on the wafer surface, remains a significant challenge. This review focuses on the theoretical study of the micro-mechanism of CMP, and systematically reviews the application of quantum chemistry based on density functional theory (DFT) and molecular dynamics (MD) based on Newtonian mechanics (classical MD/reaction MD/ab initio MD) in the prediction of reaction activity and the analysis of interface behavior. DFT calculation can efficiently locate active sites and reveal the nature of bonding; MD simulation has realized the leap from adsorption configuration to reaction path, but it faces challenges such as limited time scale and high computational cost. So, the development of accurate force field for CMP complex solution environment, the combination of DFT calculation and MD simulation, and the application of machine learning MD will become the breakthrough points for CMP theoretical calculation. The deep integration of theoretical calculation and experiment will subvert the traditional trial-and-error research and development mode of CMP, and realize the whole process digital chain of "molecular design -performance prediction - defect detection" in computer software, which is expected to accelerate the green revolution in precision manufacturing fields such as semiconductors.
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