System-Level Application of the Z-Directed Component (ZDC) for Power Integrity

Pranay Vuppunutala;Xiaolu Zhu;Junyong Park;Keith B. Hardin;Zachary C. N. Kratzer;John T. Fessler;Biyao Zhao;Siqi Bai
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Abstract

The design of the power distribution network (PDN) involves the careful placement of several decoupling capacitors around the integrated circuits (ICs) to mitigate the noise inherent with switching. A new technology capacitor, Z-directed component (ZDC), can target printed circuit board (PCB) component locations at the package balls of the IC through the PCB. A commercially available PCB PDN design, using a conventional surface mount technology (SMT) decoupling solution, was analyzed utilizing a commercially available simulation-based tool and validated by impedance measurements. The ZDC PDN performance in the system was predicted by substituting a ZDC capacitor model for selected SMT capacitors. The validation was carried out using two-port PDN measurements on the PCB. Finally, an equivalent circuit model is developed using cavity model and plane-pair partial element equivalent circuit techniques to represent the physics associated with current paths from all the decoupling capacitors to the IC. The simulation results from a commercial tool are corroborated with both the measurements and an equivalent circuit model. It is demonstrated that opting for ZDC as a decoupling solution can deliver significantly lower impedances as compared to the SMT solution for this design. Thus, the ZDC approach is a promising decoupling solution for future power integrity applications, enhancing the power integrity performance of the system, facilitating the use of cost-effective lower layer count PCBs for much higher speeds than adopting an SMT strategy.
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Front Cover 2024 Index IEEE Transactions on Signal and Power Integrity Vol. 3 IEEE Electromagnetic Compatibility Society Information System-Level Application of the Z-Directed Component (ZDC) for Power Integrity Multilayer Ceramic Capacitor Source Model Application in Acoustic Noise Prediction
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