
This dissertation, "An Efficient Large-scale Transient Electro-thermal Field Simulator for Power Devices" by Qinggao, Mei,, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: With ever-decreasing device size and extensive use of energy-consuming smart devices, heat generated within devices easily leads to extremely high temperature. In return, high temperature influences electrical operational characteristics of the semiconductor devices. Therefore, it is essential for designers to predict accurate temperature and voltage/current distribution and its impact on various devices. For this purpose, coupled electro-thermal (ET) simulation is indispensable. Another concern lies in the number of matrix elements for computation, possibly millions of elements, resulting in days of heavy computation. Therefore, a fast yet accurate modeling framework of overcoming the simulation difficulty is required. In this dissertation, a new transient electro-thermal simulation method for fast 3D chip-level analysis of power devices with field solver accuracy is proposed. The metallization stack and substrate are meshed and solved with 3D field solver using nonlinear temperature-dependent electrical and thermal parameters, and the active transistors are modeled with table models to avoid time-consuming TCAD simulation. Three main contributions are made to enhance physical relevance and computational performance. First, both implicit loose and tight coupling schemes are introduced to compare their computational performances under different coupling degrees. Also, their complexity analysis is presented. Second, the capacitiv
Page Count:
0
Publication Date:
2017-01-26
Publisher:
BiblioBazaar
ISBN-10:
1361025301
ISBN-13:
9781361025307
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