Session: WEP2E

2:00 PM Wednesday, June 18, 2008

Room: Hall A3

     
Session: WEP2E
Interactive Forum:
Chair:
Daniela Staiculescu, Georgia Institute of Technology
Co-Chair:
Ronglin Li, Georgia Institute of Technology
 
 
WEP2E-01
Wideband Electrical Modeling of Large Three-Dimensional Interconnects using Accelerated Generation of Partial Impedances with Cylindrical Conduction Mode Basis Functions
1354
K. Han, M. Swaminathan, E. Engin, Georgia Institute of Technology, Atlanta, United States
 
For wideband modeling of large and complicated three-dimensional interconnects, this paper proposes an efficiency improvement in solving electric field integral equation with cylindrical conduction mode basis functions. Based on the multifunction method, the improved method reduces computational cost by using smaller number of higher-order basis functions for computing mutual inductances between far-separated conductors. From the modeling examples of through-hole vias and bonding wires in stacked IC’s, the proposed method is verified for application to real three-dimensional interconnects.
 
 
WEP2E-02
Utilizing Infrared for Improved FET Channel Temperature Prediction
1382
A. Darwish, A. Bayba, A. Hung, Army Research Laboratory, Adelphi, United States
 
Measuring channel temperature in FETs (field effect transistors) is challenging due to the submicron dimensions of the gate fingers. Among the simplest techniques for temperature measurement is Infrared (IR) microscopy. However, IR is suffers from limited spatial resolution ( 5-10 microns). This paper presents a model for the channel temperature prediction based on IR techniques by reversing the spatial averaging inherent in IR microscopy.
 
 
WEP2E-03
Design, Integration and Characterization of a Novel Paper-based Wireless Sensor Module
1765
R. Vyas, A. Rida, L. Yang, M. Tentzeris, Georgia Institute of Technology, Atlanta, United States
 
In this paper, the first ever wireless "System On Paper" is introduced. A paper based wireless sensor module verifies the feasibility of this technology. Inkjet printing of conductive nano-particle silver ink, as well as the efficient integration of sensor active and passive devices and power source, reported in this paper, set the foundation for the development of low-cost light-weight autonomous nodes for cognitive intelligence applications.
 
 
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