Return to search

Simulating radiation-induced defects on semiconductor devices

Approved for public release; distribution is unlimited / Exploring semiconductor lifetime, reliability and performance is a never-ending science for today's modern electronics. One significant problem that affects all of these areas is radiation-induced damage. Making calculations to determine how semiconductor devices will hold up in radiation-harsh environments has to be achieved in order to determine system lifetime once placed in their operational capacity. Today's high-technology investments in such areas as satellite design, medical advances, military and commercial hardware, demand thorough understanding in radiation damage. Modeling semiconductor devices with computer-based simulation will provide a cost and time savings over a repetitive design and testing sequence. This thesis models and simulates an industry standard solar cell and a light emitting diode (LED), using the SILVACO ATLASTM computer-based program. Using this software, these simulations are generated based on known radiation-induced defects on gallium arsenide (GaAs) semiconductive devices derived from Deep Level Transient Spectroscopy (DLTS) studies. A comparison is then made with another radiation-induced damage prediction method, known as Non-Ionizing Energy Loss (NIEL), to see if the SILVACO ATLASTM models can be used as an alternative. / Lieutenant, United States Navy

Identiferoai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/1420
Date09 1900
CreatorsGladney, Dewey Clinton.
ContributorsMichael, Sherif, Weatherford, Todd R., Naval Postgraduate School (U.S.)., Electrical and Computer Engineering
PublisherMonterey California. Naval Postgraduate School
Source SetsNaval Postgraduate School
Detected LanguageEnglish
TypeThesis
Formatxvi, 61 p. : ill. (some col.) ;, application/pdf
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.

Page generated in 0.0018 seconds