Erasmus Langer
Siegfried Selberherr
Oskar Baumgartner
Markus Bina
Hajdin Ceric
Johann Cervenka
Lado Filipovic
Wolfgang Gös
Klaus-Tibor Grasser
Hossein Karamitaheri
Hans Kosina
Hiwa Mahmoudi
Alexander Makarov
Marian Molnar
Mahdi Moradinasab
Mihail Nedjalkov
Neophytos Neophytou
Roberto Orio
Dmitry Osintsev
Vassil Palankovski
Mahdi Pourfath
Karl Rupp
Franz Schanovsky
Anderson Singulani
Zlatan Stanojevic
Ivan Starkov
Viktor Sverdlov
Oliver Triebl
Stanislav Tyaginov
Paul-Jürgen Wagner
Michael Waltl
Josef Weinbub
Thomas Windbacher
Wolfhard Zisser

Paul-Jürgen Wagner
Dipl.-Ing.
pjwagner(!at)iue.tuwien.ac.at
Biography:
Paul-Jürgen Wagner was born in Vienna, Austria, in 1979. He studied electrical engineering at the Technische Universität Wien, where he received the degree of Diplomingenieur in 2007. He joined the Institute for Microelectronics in February 2007, where he is currently working on his doctoral degree. His interests include device modeling, analog circuit design, and electric measurement methods.

Assessment of the Loss of Recoverable Component of NBTI

Although Negative Bias Temperature Instability (NBTI) was first observed more than 30 years ago, and the phenomenon has been one of the focus topics of the microelectronics reliability community for some years now, there is still no generally agreed physical explanation for it. Even the interpretation of some empirical features of NBTI is a matter of ongoing debates. Most researchers in the field, however, have in the meantime acknowledged that oxide defects must play a crucial role in the explanation of NBTI.
One particularly interesting observation with NBTI can be made when transistors are subjected to alternating stress and relaxation sequences. Quite surprisingly, the amount of threshold voltage shift that recovers during the relaxation periods decreases with increasing number of cycles, or increasing number of cumulated net stress time. We carried out the according experiments on three different technologies, which show comparable behavior at high temperatures (200°C). For one technology, we also measured where there was a reduced loss of recoverable component at a lower temperature. It must be noted here that the decreasing recoverable component is incompatible with defect models with just two states (charged and neutral), as those defects should show perfectly cyclic behavior. In contrast, a defect model with at least a third state, where the formerly charged defect 'locks in' and hence will not recover in the next relaxation period, is required.
The general use-case of a Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is hardly a constant-bias situation, but rather a stochastic process with variable on- and off- times. Regarding NBTI in this situation means that the accurate modeling of the recovery is at least as important as correctly modeling the stress phase. Especially effects such as the described loss of the recoverable component can have a huge impact on lifetime extrapolations, as errors accumulate in the course of the simulation.


Relative loss of recoverable component (per decade of cumulative stress time) with cyclic stressing and relaxing of pMOSFETs of different technologies (A, B, and C). The loss decreases at lower temperatures and stress voltages.


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