In chemical mechanical polishing (CMP), the injection position of the polishing slurry significantly affects the interfacial hydrodynamics, abrasive transport, removal efficiency, and overall planarization. This study systematically investigates the influence mechanism of the slurry injection position in the CMP process of 12-inch wafers via a multiphase flow–discrete phase coupling computational fluid dynamics (CFD) model combined with a user-defined function (UDF) to constrain abrasives. The results show that the injection position directly determines the distribution of slurry between the wafer and the polishing pad. At 45 mm from the pad center, the slurry effectively fills the gap, achieving the highest material removal rate (MRR). At 105 mm, the slurry is distributed most uniformly beneath the wafer, resulting in optimal planarization. However, at 165 mm, the slurry flow extends beyond the wafer center, causing abrasive agglomeration and localized overpolishing, which significantly decreases the surface uniformity. Dye visualization and CMP experiments with 12-inch copper wafers validate the accuracy of the model. The findings suggest that the slurry injection position should balance the material removal rate and planarity to optimize the slurry distribution system, providing a theoretical basis for future optimization efforts.
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Research Article
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Open Access
Review Article
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Chemical mechanical polishing (CMP) and post-CMP cleaning are critical steps in the current semiconductor manufacturing process. These processes require ensuring atomic-scale flatness and complete removal of contaminants. This review examines the use of molecular dynamics (MD) simulations to elucidate the atomic-scale mechanisms underlying CMP and postcleaning, focusing on four major MD methodologies: classical MD, reactive force field MD (ReaxFF), tight-binding quantum chemical MD (TB-QC MD), and ab initio MD (AIMD). Classical MD provides a foundation for simulating large-scale systems but lacks accuracy for modeling chemical reactions. ReaxFF allows real-time bond breaking and formation simulations during CMP. TB-QC MD combines quantum accuracy with classical efficiency, enabling exploration of the effects of chemical reactions on friction and material removal. AIMD directly calculates atomic interactions for precise depictions of chemical processes, although it is computationally expensive. MD simulations act as a “computational microscope”, enhancing CMP and postcleaning processes by quantifying interactions, material removal pathways, and contaminant desorption. Future research should address multiscale modeling challenges, improve AIMD efficiency, and develop accurate potential functions to propel semiconductor manufacturing toward greater precision and efficiency.
As integrated circuit (IC) technology progresses to 7-nm nodes and beyond, cobalt (Co) has emerged as a promising substitute for copper (Cu) in interconnects. This shift is driven by Co's shorter electron mean free path, excellent electromigration resistance, and superior deposition characteristics. This study addresses the challenges associated with the selective removal of Co and titanium (Ti) barrier layers during the chemical mechanical polishing (CMP) process while also achieving global wafer planarization. By optimizing the functional groups in the slurry, the process enhances the selectivity of the removal process.
This research integrates CMP experiments with electrochemical tests, static etch experiments, and nanoscratch tests to analyze the removal behaviors of Co and Ti within Co interconnect heterostructures. Electrochemical tests are used to assess the impact of chemical reactions on material removal, while nanoscratch tests evaluate the mechanical strength of wafer surfaces after chemical exposure. The study focuses on the role of complexing agents containing amino (—NH2) and carboxyl (—COOH) functional groups in improving removal efficiency. By correlating electrochemical data with removal rates, the action mechanisms of these functional groups in the slurry are explored. Additionally, the study analyzes how adjusting the abrasive concentration in the slurry affects Ti removal efficiency.
Experimental results demonstrate significant differences in the removal mechanisms of Co and Ti. Co removal is predominantly driven by chemical corrosion, significantly accelerated by amino functional groups. Mechanical action also plays a role, contributing to rapid Co removal. This behavior is attributed to strong complexation reactions between Co ions and amino groups, facilitating Co dissolution and enhancing the chemical corrosion process. Conversely, carboxyl functional groups have a relatively minor impact on Co removal. Ti removal is primarily led by mechanical action, with chemical corrosion playing a minor role. Increasing the abrasive concentration in the slurry significantly enhances the Ti removal rate. The study confirms that by optimizing the types and concentrations of functional groups in the slurry, selective removal of Co and Ti can be effectively controlled. A comprehensive database has been developed documenting the specific effects of different amino and carboxyl groups under various conditions. Furthermore, the study validates a proposed strategy for controlling the removal rates of heterogeneous Co/Ti structures through patterned wafer experiments. These experiments explored time thresholds for the bulk and barrier CMP processes. The process parameters for the two-step polishing of Co interconnect wafers were optimized, achieving a defect-free Co interconnect structure. During the bulk CMP step, —NH2 group-based agents were employed, with polishing times controlled between 1.5 and 2.5 min to prevent excessive dishing. Simultaneously, reducing the abrasive concentration lowered the Ti removal rate, further optimizing selectivity between different materials and ensuring superior surface quality. For the barrier CMP step, complexing agents containing an appropriate amount of —COOH groups were used, with polishing times around one minute. An increase in abrasive concentration enhanced the mechanical action of Ti removal.
This optimization strategy not only reduces the Co removal rate but also increases the Ti removal rate, effectively minimizing height differences between material interfaces and achieving the desired planarization effect during the polishing process. These findings provide valuable insights into the removal mechanisms of Co and Ti in the CMP process. They also establish effective strategies for enhancing selectivity and overall process efficiency, offering a theoretical framework for tailoring CMP slurry formulations to meet the specific requirements of advanced IC manufacturing.
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Review Article
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For several decades, chemical mechanical polishing (CMP) has been the most widely used planarization method in integrated circuits manufacturing. The final polishing results are affected by many factors related to the carrier structure, the polishing pad, the slurry, and the process parameters. As both chemical and mechanical actions affect the effectiveness of CMP, and these actions are themselves affected by many factors, the CMP mechanism is complex and has been a hot research area for many years. This review provides a basic description of the development, challenges, and key technologies associated with CMP. We summarize theoretical CMP models from the perspectives of kinematics, empirical, its mechanism (from the viewpoint of the atomic scale, particle scale, and wafer scale), and its chemical–mechanical synergy. Experimental approaches to the CMP mechanism of material removal and planarization are further discussed from the viewpoint of the particle wear effect, chemical–mechanical synergy, and wafer–pad interfacial interaction.
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