中国半导体行业协会封装分会会刊

中国电子学会电子制造与封装技术分会会刊

导航

电子与封装

• 封装、组装与测试 •    下一篇

有机基板用积层绝缘膜的性能权衡挑战与技术展望

程佳佳1,鞠苏1,贺雍律1,张鉴炜1,靳启锋1,吴之涵1,尹昌平1,邢素丽1,李轶楠2,段科1   

  1. 1. 国防科技大学空天科学学院,长沙  410000; 2. 无锡中微高科电子有限公司,江苏 无锡  214061
  • 收稿日期:2025-09-30 修回日期:2025-11-17 出版日期:2025-11-28 发布日期:2025-11-28
  • 通讯作者: 段科
  • 基金资助:
    国家自然科学基金(52303116,2403125);湖南省自然科学基金青年基金(2024JJ6461)

Performance Trade-offs in Build-up Dielectric Film for Organic Package Substrate: Challenges and AI-Enabled Future Directions

CHENG Jiajia1, JU Su1, HE Yonglu1, ZHANG Jianwei1, JIN Qifeng1, WU Zhihan1, YIN Changping1, XING Suli1, LI Yinan2, DUAN Ke1   

  1. 1. College of Aerospace Science and Engineering, Changsha 410000, China; 2. Wuxi Zhongwei High-Tech Electronics Co., Ltd., Wuxi 214061, China
  • Received:2025-09-30 Revised:2025-11-17 Online:2025-11-28 Published:2025-11-28

摘要: 积层绝缘膜作为先进封装技术的关键材料,其性能直接决定了芯片系统的可靠性与信号传输速率。然而,高铜附着力、低热膨(CTE)、低介电与优异加工性这四大核心指标间存在深层物理化学冲突,构成了难以逾越的“性能四边形”困境。本文首先综述了传统积层绝缘膜研发在低介电树脂设计、填料/树脂界面调控以及高填充复合工艺实现等方面的主流策略与研究进展。在此基础上,进一步从分子与介观层面深入剖析了制约性能协同提升的关键问题,即“极性需求冲突”(附着力和介电)与“填充-流动矛盾”(热膨胀系数和粘度)。为突破传统试错法的局限性,本文进而阐述了人工智能(AI)如何通过多尺度协同设计,为解决上述挑战提供颠覆性路径,并指出了AI赋能研发需解决的关键问题。最后,对未来积层绝缘膜材料的发展趋势和技术方向进行了展望。

关键词: 积层绝缘膜, 先进封装, 性能权衡, 人工智能, 协同设计

Abstract: Build-up dielectric films are critical dielectric materials in advanced packaging, where their performance directly determines the reliability and signal integrity of chip systems. However, simultaneously optimizing four key properties—high copper adhesion, a low coefficient of thermal expansion (CTE), low dielectric constant, and excellent processability—presents a significant challenge due to fundamental conflicts in their underlying physics and chemistry. This review first provides a systematic overview of conventional research strategies for build-up dielectric films, focusing on mainstream approaches in low-dielectric resin design, filler/resin interface engineering, and processing of highly-filled composites. Building on this analysis, we examine the core scientific issues that hinder synergistic performance improvements at the molecular and mesoscales: the inherent conflict between polarity requirements (for adhesion vs. dielectric properties) and the physical limits of filler loading versus viscosity. To overcome the limitations of traditional trial-and-error methods, this paper explains how artificial intelligence (AI) offers a powerful new approach to resolve these challenges through a multi-scale co-design framework. We also identify the key hurdles that must be addressed to successfully implement AI in this field. Finally, we provide an outlook on future trends and technological directions for the development of advanced build-up dielectric film materials.

Key words: Build-up film, advanced packaging, performance trade-off, artificial intelligence, co-design