Abstract

Abstract With the development of integrated circuit technology, especially after entering the sub-micron process, the reduction of critical dimensions and the realization of high-density devices, the flatness between integrated circuit material layers is becoming more and more critical. Because conventional mechanical polishing methods inevitably produce scratches of the same size as the device in metal or even dielectric layers, resulting in depth of field and focus problems in lithography. The first planarization technique to achieve application is spin on glass (SOG) technology. However, this technology will not only introduce new material layers, but will also fail to achieve the global flattening required by VLSI and ULSI technologies. Moreover, the process instability and uniformity during spin coating do not meet the high flatness requirements of the wafer surface. Also, while some techniques such as reverse etching and glass reflow can achieve submicron level regional planarization. After the critical dimension reaches 0.35 microns (sub-micron process), the above methods cannot meet the requirements of lithography and interconnect fabrication. In the 1980s, IBM first introduced the chemical mechanical polishing (CMP) technology used to manufacture precision optical instruments into its DRAM manufacturing [1]. With the development of technology nodes and critical dimensions, CMP technology has been widely used in the Front End Of Line (FEOL) and Back End Of Line (BEOL) processes [2]. Since the invention of chemical mechanical polishing, scientists have not stopped studying its internal mechanism. From the earliest Preston Formula (1927) to today’s wafer scale, chip scale, polishing pad contact, polishing pad - abrasive - wafer contact and material removal models, there are five different scale models from macro to the micro [3]. Many research methods, such as contact mechanics, multiphase flow kinetics, chemical reaction kinetics, molecular dynamics, etc., have been applied to explain the principles of chemical mechanical polishing to establish models. This paper mainly introduces and summarizes the different models of chemical mechanical polishing technology. The various application scenarios and advantages and dis-advantages of the model are discussed, and the development of modeling technology is introduced.

Highlights

  • chemical mechanical polishing (CMP) is currently the only technology that can achieve global planarization, so it is important today that key dimensions have entered the deep submicron process [4]

  • After calculating the average material removal rate according to the contact mechanics analysis, the MRR distribution model is obtained according to different contact stresses and relative velocities

  • The contact mechanics calculation is performed by the new surface topography, and the chemical mechanical polishing simulation is performed according to the layout, and the material removal rate of different regions is used to evolve the inter-layer thickness deviation and even the dishing and erosion size

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Summary

Introduction

CMP is currently the only technology that can achieve global planarization, so it is important today that key dimensions have entered the deep submicron process [4]. The earliest application of chemical mechanical polishing (CMP) technology was the fabrication of ultra-smooth surfaces for precision optical instrument lenses. Until 1980, because of the increasing requirement for surface flatness in lithography, IBM scientists introduced STI CMP technology into the production of integrated circuits [1,2,3,4]. It can be seen that the emergence and development of CMP technology has promoted the steady progress of integrated circuit technology and Moore’s Law. because people know little about the detailed micro-mechanism of CMP, CMP technology is more of a semi-empirical technique, unable to accurately predict its working process, and more based on large-scale experiments to optimize experimental parameters. (2) Factors affecting the removal rate of the material; (3) Balance and synergy between mechanical and chemical effects during polishing; (4) Realization of high selection ratio removal rate of various materials during polishing; (5) The effect of pattern density and shape on the polishing process in the Damascus process; (6) Prediction, mitigation and elimination of erosion and scratch during polishing; (7) Prediction of thickness deviation data of polished metal layer/dielectric layer

CMP model with polishing particles as the main focus
Polishing particle size distribution model
Abrasive deformation correction model
Model based on surface topography and on-chip graphics density
Dishing and erosion model based on on-chip scale
Conclusion
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