The effects of parameters affecting the input impedance of a power delivery network (PDN) are investigated. It is considered that the size of the power plane and the number of associated planes in the PCB layout, apart from the decoupling capacitor, have an effect on the impedance behavior within a certain frequency range. An artificial neural network (ANN) is trained using the generated data utilizing a process to generate suitable input for training a machine learning (ML) module, which is able to predict the impedance profile of the PDN. In order to obtain a more accurate prediction, Bayesian optimization is implemented and the results are compared to commercial power integrity (PI) software.</p
In power electronic converters, reliability of DC-link capacitors is one of the critical issues. The...
The study of Signal Integrity (SI) phenomena required the implementation of a specific test vehicle,...
Sub-optimal design of power delivery networks (PDN) may cause performance deterioration and severe f...
This paper presents modeling of power delivery network (PDN) impedance with vary-ing decoupling capa...
In power distribution networks (PDN), there are two main challenges nowadays. One challenge is how t...
The design process of power delivery networks (PDN) in modern computer platforms is becoming more re...
Selection of decoupling capacitors (decaps) is important for power distribution network (PDN) design...
Modeling and simulating a power distribution network (PDN) for printed circuit boards with irregular...
PCB/package stack-up design optimization is time-consuming and requiring a great deal of experience....
With increasingly stringent requirements for lower voltage supply, and higher density in PCB PDN des...
When designing and building power systems that contain power electronic switching sources and loads,...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
Impedance characteristics of shipboard power systems provide important information for studies on sy...
Corresponding authors: Zihao Wang; Chulsoon Hwang.International audienceThis paper proposes a jitter...
In power electronic converters, reliability of DC-link capacitors is one of the critical issues. The...
The study of Signal Integrity (SI) phenomena required the implementation of a specific test vehicle,...
Sub-optimal design of power delivery networks (PDN) may cause performance deterioration and severe f...
This paper presents modeling of power delivery network (PDN) impedance with vary-ing decoupling capa...
In power distribution networks (PDN), there are two main challenges nowadays. One challenge is how t...
The design process of power delivery networks (PDN) in modern computer platforms is becoming more re...
Selection of decoupling capacitors (decaps) is important for power distribution network (PDN) design...
Modeling and simulating a power distribution network (PDN) for printed circuit boards with irregular...
PCB/package stack-up design optimization is time-consuming and requiring a great deal of experience....
With increasingly stringent requirements for lower voltage supply, and higher density in PCB PDN des...
When designing and building power systems that contain power electronic switching sources and loads,...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
Impedance characteristics of shipboard power systems provide important information for studies on sy...
Corresponding authors: Zihao Wang; Chulsoon Hwang.International audienceThis paper proposes a jitter...
In power electronic converters, reliability of DC-link capacitors is one of the critical issues. The...
The study of Signal Integrity (SI) phenomena required the implementation of a specific test vehicle,...
Sub-optimal design of power delivery networks (PDN) may cause performance deterioration and severe f...