Increase the electroplating bath temperature by 5-10°C to disproportionately accelerate the temperature-sensitive reaction kinetics compared to the diffusion process, reducing the kinetic limitation.
Reduce the diameter of the anode - a smaller size of the Cu anode should act similarly to the added dummy cathode.
Increase the voltage of the process to ensure the electroplating is in diffusion limitation mechanism - Increase the cathodic overpotential through refined voltage control in the plating recipe to enhance reaction kinetics without exceeding mass transport limits, ensuring uniform deposition across the wafer
Implement pulsed current electrodeposition with tailored duty cycles and pulse frequencies to intermittently boost discharge kinetics while allowing diffusion to equilibrate, reducing the kinetic limitation under standard conditions
Begin the Cu deposition with the electroless process - ensure to increase the thickness of the Cu-seed layer, which will result in the reduction of the resistivity
Insert the separation net near the wafer to reduce the diffusion of ions to the wafer - this is the way to reduce the rate of diffusion.
This project investigates how to increase the copper removal rate during Chemical Mechanical Planarization (CMP). Functional modeling revealed that increasing H₂O₂ alone is ineffective beyond an optimum level because rapid oxidation creates a thick, passivating Cu₂O/CuO layer that must be mechanically removed. The winning direction is to balance faster oxidation with stronger mechanical removal by optimizing pad speed, abrasive concentration, pressure, conditioning, and slurry transport.
Wet cleaning is widely used in microchip manufacturing. Single wafer equipment is working as follows. A wafer rotates, and chemistry is poured from a movable nozzle. Water rinsing is performed at the end of the process. Loading of a new batch of the chemistry resulted in excursion - a strongly increased amount of defects was observed on the wafer after the processing. The project is dedicated to the failure analysis and creation of innovative solutions.
Semiconductor devices are becoming more complex and expensive. But what exactly are we paying for when we buy a computer, cellphone, or any device containing a microchip? It’s not for radically new functions—the core components remain the same: transistors and interconnections. According to Moore’s law, transistors are getting smaller, with more interconnection layers added, making the manufacturing process longer and more costly. In reality, we’re paying for the inability of engineers to efficiently solve engineering challenges. This project leverages System Functional Modeling (SFM) to analyze the IC interconnection layer and Process Functional Modeling (PFM) to evaluate its manufacturing process. These analyses aim to deepen our understanding of both the device and the production process, generating innovative solutions for cost reduction and improved efficiency.