Erasmus Langer
Siegfried Selberherr
Bindu Balakrishna
Oskar Baumgartner
Hajdin Ceric
Johann Cervenka
Otmar Ertl
Wolfgang Gös
Klaus-Tibor Grasser
Philipp Hehenberger
René Heinzl
Hans Kosina
Goran Milovanovic
Neophytos Neophytou
Roberto Orio
Vassil Palankovski
Mahdi Pourfath
Karl Rupp
Franz Schanovsky
Philipp Schwaha
Ivan Starkov
Franz Stimpfl
Viktor Sverdlov
Oliver Triebl
Stanislav Tyaginov
Martin-Thomas Vasicek
Stanislav Vitanov
Paul-Jürgen Wagner
Thomas Windbacher

Klaus-Tibor Grasser
Ao.Univ.Prof. Dipl.-Ing. Dr.techn.
grasser(!at)iue.tuwien.ac.at
Biography:
Tibor Grasser was born in Vienna, Austria, in 1970. He received the Diplomingenieur degree in communications engineering, the PhD degree in technical sciences, and the venia docendi in microelectronics from the Technische Universität Wien, in 1995, 1999, and 2002, respectively. He is currently employed as an Associate Professor at the Institute for Microelectronics. Since 1997 he has headed the Minimos-NT development group, working on the successor to the highly successful MiniMOS program. He was a visiting research engineer for Hitachi Ltd., Tokyo, Japan, and for the Alpha Development Group, Compaq Computer Corporation, Shrewsbury, USA. In 2003 he was appointed head of the Christian Doppler Laboratory for TCAD in Microelectronics, an industry-funded research group embedded in the Institute for Microelectronics. His current scientific interests include circuit and device simulation, device modeling, and reliability issues.

A Two Stage Model for Bias Temperature Instability

Bias temperature instability is one of the most important reliability issues in modern MOSFETs. It is observed when a large bias is applied to the gate of an otherwise grounded transistor and results in a drift of crucial device parameters, most notably the threshold voltage. Even after four decades of research, bias temperature instability is still a highly puzzling phenomenon, which has so far eluded our complete understanding. One of the most controversial aspects at the moment is whether interface or oxide charges are the cause of the degradation. Experimental techniques conventionally used to differentiate between these two are difficult to apply, since they rely on modifying the gate bias during measurement, which in turn dramatically accelerates recovery of the degradation. Thus, in order to better understand the phenomenon, the complex degradation/recovery patterns that are observed when the gate bias is modulated need to be understood. This is also mandatory for any estimation of device degradation in a realistic circuit setting. Quite contrary to the latest experimental observations, most modeling approaches published so far have focused on constant gate bias stress and are remarkably oblivious to any recovery of the degradation, which sets in as soon as the stress is removed. In particular, none of these features can be explained by the most-commonly used reaction-diffusion model.
A frequently used assumption is that both oxide and interface states are independently responsible for the total degradation. On the other hand, many researchers have observed a 1:1 correlation between the two. Based on detailed experimental evidence, we have suggested a two-stage model for negative bias temperature instability, which works in quite a similar fashion as interface state generation following irradiation. In state one, charge is trapped in oxygen vacancies close to the silicon interface. Contrary to previous explanations, though, it can be shown that charge is not simply trapped in oxide: in order to accommodate the trapped hole, the lattice relaxes around the trapped charge and forms a defect, most likely an E' center, which can be repeatedly charged and discharged. Only after having been in the neutral state for long enough can the defect fully anneal. Following this charge capture and lattice relaxation, an interface state can be created, for instance by a hydrogen exchange between E' and Pb centers. Experimental evidence for such a connection has been frequently given in literature. So rather than being independent entities, the charges stored in oxide and interface defects become naturally correlated. In particular, after discharging of the recoverable E' centers, the 1:1 correlation between interface and oxide charges can be explained. The model has been validated against experimental data obtained from three vastly different technologies (ultrathick SiO2, thin SiON, and high-k devices) and very good agreement has been obtained.


Comparison of a simulation result obtained from the two-stage model to measured stress and recovery data at 150°C for 8 different stress voltages. Devices with a 1.4nm thin oxynitride are used. Note the asymmetry between stress and recovery behavior that has been accurately reproduced by the model.


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