Evolution of epoxy molding compounds and future carbon materials for thermal and mechanical stress management in memory device packaging: a critical review

CL Gan, MH Chung, LF Lin, CY Huang… - Journal of Materials …, 2023 - Springer
This paper provides an overview of technical enhancements of current encapsulant
materials (epoxy molding compound and underfill) and future deployment of graphene …

Thermo-Mechanical Challenges of 2.5 D Packaging: A Review of Warpage and Interconnect Reliability

H Kim, JY Hwang, SE Kim, YC Joo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Advanced packaging technology, also known as system scaling, bridges the gap between
chip and package sizes by mounting multiple chips on a single package substrate. 2.5-D …

A review on warpage measurement metrologies for advanced electronic packaging

G Sun, S Zhang - Microelectronics Reliability, 2024 - Elsevier
In the post-Moore era, advanced electronic packaging technology emerges as a prominent
direction for the future evolution of semiconductor industry. Nevertheless, warpage remains …

Warpage: Causes, manufacturing processes and future challenges: A review

M Coca-Gonzalez… - Proceedings of the …, 2024 - journals.sagepub.com
Currently, in the manufacturing industry, there are many different component manufacturing
processes. Each of them has its own advantages and disadvantages. One phenomenon …

[HTML][HTML] Effects of Temperature on the Fracture Response of EMC-Si Interface Found in Multilayer Semiconductor Components

J Valdoleiros, A Akhavan-Safar, P Maleki, PFC Videira… - Surfaces, 2025 - mdpi.com
Despite the fact that temperature is an important condition that affects the behavior of
material interfaces used in integrated circuits (ICs), such as the case for epoxy molding …

Time Reduction for Package Warpage Optimization based on Deep Neural Network and Bayesian Optimization

J Lee, D Kwon - Journal of the Microelectronics and Packaging …, 2024 - koreascience.kr
Recently, applying a machine learning to surrogate modeling for rapid optimization of
complex designs have been widely researched. Once trained, the machine learning …