Comparative study of surrogate modeling methods for signal integrity and microwave circuit applications

T Nguyen, B Shi, H Ma, EP Li, X Chen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With a short product cycle as we see today, fast and accurate modeling methods are
becoming crucial for the development of new generation of electronics devices …

Reinforcement-learning-based signal integrity optimization and analysis of a scalable 3-d x-point array structure

K Son, M Kim, H Park, D Lho, K Son… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this article, we, for the first time, propose a reinforcement learning (RL) model to design an
optimal 3-D cross-point (X-Point) array structure considering signal integrity issues. The …

AI Models for Supporting SI Analysis on PCB Net Structures: Comparing Linear and Non-Linear Data Sources

J Withöft, W John, E Ecik, R Brüning… - Advances in Radio …, 2023 - ars.copernicus.org
Signal integrity (SI) is an essential part in assuring the functionality of microelectronic
components on a printed circuit board (PCB). Depending on the complexity of the designed …

Invertible neural networks for inverse design of CTLE in high-speed channels

MA Dolatsara, H Yu, JA Hejase… - 2020 IEEE Electrical …, 2020 - ieeexplore.ieee.org
Designing CTLE of high-speed channels can be complicated and time consuming. To
alleviate this issue, this paper investigates the invertible neural networks (INNs) for inverse …

Invertible neural networks for high-speed channel design & parameter distribution estimation

N Ambasana, OW Bhatti, MA Dolatsara… - 2021 IEEE 30th …, 2021 - ieeexplore.ieee.org
High-speed channels have complex topologies with large number of design and process
variables. Design and analysis of such channels, for given specifications has been a …

AI-Enhanced Modal Decomposition Method for Fast and Efficient PCB Modeling and Signal Integrity

Z Gao, M Su, X Guo, X Chen, C Yan… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
An AI-enhanced modal decomposition method is proposed in this paper for fast and efficient
high-speed multilayered PCB modeling and integrity. Depending on modal patterns of PCB …

[PDF][PDF] High-Speed Channel Analysis And Design Using Polynomial Chaos Theory And Machine Learning

MA Dolatsara - 2021 - prc.gatech.edu
With the exponential increase in the data rate of high-speed serial channels, their efficient
and accurate analysis and design has become of crucial importance. Signal integrity …

A Fast Optimization Method for High-Speed Link Inverse Design With SVR-AS Algorithm

H Ma, D Li, EP Li, AC Cangellaris… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A fast constrained design optimization technique is introduced for the inverse design of high-
speed links. The proposed method makes use of the support-vector-regression-based active …

Channel Inverse Design Using Tandem Neural Network

H Ma, EP Li, Y Wang, B Shi… - 2022 IEEE 26th …, 2022 - ieeexplore.ieee.org
A tandem neural network (NN) with R 2 score-based loss function is proposed in this paper
for channel inverse design. Tandem NN consists of an inverse neural network from target …

Parallel bayesian active learning using dropout for optimizing high-speed channel equalization

X Yang, HM Torun, J Tang, PR Paladhi… - 2021 IEEE 30th …, 2021 - ieeexplore.ieee.org
This work realizes the parallelization of Bayesian Active Learning using Dropout (BAL-DO)
and is successfully applied for optimizing equalization settings for high-speed channel …