English
Beginner
Artificial Intelligence (AI)
3D Microelectronic Packaging: From Fundamentals to Applications
Yan Li,Deepak Goyal (eds.)
4.3 / 5
0 reviews
2017
Published
465
pages
321
views
This volume provides a comprehensive reference for graduate students and professionals in both academia and industry on the fundamentals, processing details, and applications of 3D microelectronic packaging, an industry trend for future microelectronic packages. Chapters written
About this book
This volume provides a comprehensive reference for graduate students and professionals in both academia and industry on the fundamentals, processing details, and applications of 3D microelectronic packaging, an industry trend for future microelectronic packages. Chapters written by experts cover the most recent research results and industry progress in the following areas: TSV, die processing, micro bumps, direct bonding, thermal compression bonding, advanced materials, heat dissipation, thermal management, thermal mechanical modeling, quality, reliability, fault isolation, and failure analysis of 3D microelectronic packages. Numerous images, tables, and didactic schematics are included throughout. This essential volume equips readers with an in-depth understanding of all aspects of 3D packaging, including packaging architecture, processing, thermal mechanical and moisture related reliability concerns, common failures, developing areas, and future challenges, providing insights into key areas for future research and development.
Ask this book
Your question is answered in the context of this title and author. Each answer uses 2 points.
Sign in to ask the book assistant.
Reader reviews
0 reviews · 4.3 average out of 5
No reviews yet
If you have read this book, help the next reader with your experience.
Write a review
Sign in to publish a review.
Reader questions and answers
Ask a focused question and learn from the community.
Sign in to ask or answer a question.
No questions yet
Be the first to ask a clear, useful question.
What to read next
Related references that continue this learning path.
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Alice Zheng,Amanda Casari
2018
View book