As the radiation leakage from solder balls of system-in-package becomes increasingly
significant, this article presented a novel analysis and design method for pin map distribution …

In this article, a policy-based reinforcement learning (RL) method for optimizing through
silicon via (TSV) array design in high-bandwidth memory (HBM) considering signal integrity …

In this article, we propose a deep reinforcement learning (DRL)-based optimal and fast
hybrid equalizer (HYEQ) design method for high-bandwidth memory (HBM) module. The …

In this work, we propose a deep reinforcement learning (DRL) framework called Pin-opt,
designed to create a reusable solver capable of optimizing pin assignment to minimize …

With the rapid increase in the operating frequency and integration density of ball grid array
packages, pin assignment (pinmap) significantly impacts electromagnetic interference (EMI) …

Vehicular Ad Hoc Networks (VANETs) expand the application business of intelligent
transportation systems. However, open communication environment issues a new challenge …

This article presents a novel contextual via optimization method, Bayesian exploration
imitation learning (BE-IL), designed to efficiently enhance the signal integrity (SI) of PAM-4 …

Pixel antennas expressed in the form of discrete variable's structure (DVS) demonstrate
immense potential in electromagnetic (EM) performance, but the design process relies on a …

As the proportion of composite materials used in aircraft continues to increase, the
electromagnetic Shielding Effectiveness (SE) of these materials becomes a critical factor in …

The number of Printed Circuit Board (PCB) layers is continually increasing with the increase
in data transmission rates, and the Signal Integrity (SI) of high-speed digital systems cannot …