Modeling 0.18[m̳u̳]m BiCMOS (S18) high sheet resistance (RPH) polysilicon resistor lifetime drift
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Jesus del Alamo and Craig Easson.
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A highly accelerated lifetime test (HALT), is a stress testing methodology for accelerating product reliability that is universally conducted during the engineering development process. In conducting a HALT for circuit components, a burn-in procedure is executed, where the circuit/device is heated to a high temperature for a number of days until finally cooled back to room temperature in order for voltage, current or parameter variations to be compared. When such changes to voltage, cur- rent, or parameters are permanent, no amount of further burn-ins, cool downs or temperature cycling can return the parameter of interest back to its original value it held prior to the burn-in. This is called lifetime-drift and is a problem that circuit simulators do not model. The inability to simulate life-time drift leads to production delays, increasing costs and decreased reliability. In this thesis, I investigated the physics, created a circuit simulation model and implemented an easy-to-use utility for detecting and measuring lifetime drift in 0.18m BiCMOS high sheet resistance (RPH) polysilicon resistors. The circuit model was made using Cadence-Spectre and Verilog-A. The lifetime drift utility was written using Ocean scripting language.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis. In title on title page, "[m̳u̳]" appear as lower case Greek letter.Includes bibliographical references (page 71).
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Electrical Engineering and Computer Science.