Memory Packaging Challenges for a Growing Market

Knowlton Olmstead, C. Zwenger, R. Strode
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Abstract

Increasing demands for storage and high-performance memory in applications such as artificial intelligence (AI), machine learning and processing storage are driving long-term growth in the market. This paper will highlight the key challenges encountered in packaging next-generation memory devices and discuss some of the technological developments required to address them while considering performance, cost, and yield. An evaluation is highlighted of a remote microwave plasma process to remove damage caused by laser ablation during the wafer dicing process that shows an improvement in die strength using this process.
内存封装市场增长的挑战
人工智能(AI)、机器学习和处理存储等应用对存储和高性能内存的需求不断增长,推动了市场的长期增长。本文将重点介绍在封装下一代存储器件时遇到的主要挑战,并讨论在考虑性能、成本和产量的同时解决这些挑战所需的一些技术发展。对远程微波等离子体工艺进行了评估,以消除晶圆切割过程中激光烧蚀造成的损伤,表明使用该工艺可以提高模具强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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