Unveiling Microscopic Mechanisms of Chemical Mechanical Polishing via Multi-Scale Theoretical Calculations.

Journal: Journal of computational chemistry
Published Date:

Abstract

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.

Authors

  • Bin Hu
    Department of Thoracic Surgery Beijing Chao-Yang Hospital Affiliated Capital Medical University Beijing China.
  • Xinhuan Niu
    School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China.
  • Jiakai Zhou
    School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China.
  • Changxin Dong
    School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China.
  • Chao He
    Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.
  • Xinjie Li
    School of Mathematics and Statistics, Xidian University, Xi'an 710071, P. R. China.
  • Zheng Wu
  • Jiahui Li
    College of Communication Engineering, Jilin University, Changchun, Jilin China.

Keywords

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