Erasmus Langer
Siegfried Selberherr
Oskar Baumgartner
Hajdin Ceric
Johann Cervenka
Siddhartha Dhar
Robert Entner
Otmar Ertl
Wolfgang Gös
Klaus-Tibor Grasser
Philipp Hehenberger
René Heinzl
Clemens Heitzinger
Andreas Hössinger
Gerhard Karlowatz
Markus Karner
Hans Kosina
Ling Li
Gregor Meller
Goran Milovanovic
Mihail Nedjalkov
Alexandre Nentchev
Roberto Orio
Vassil Palankovski
Mahdi Pourfath
Philipp Schwaha
Viktor Sverdlov
Oliver Triebl
Stephan Enzo Ungersböck
Martin-Thomas Vasicek
Stanislav Vitanov
Martin Wagner
Paul-Jürgen Wagner
Thomas Windbacher
Robert Wittmann

Viktor Sverdlov
MSc PhD
sverdlov(!at)iue.tuwien.ac.at
Biography:
Viktor Sverdlov received his Master of Science and Ph.D. degrees in physics from the State University of St.Petersburg, Russia, in 1985 and 1989, respectively. From 1989 to 1999 he worked as a staff research scientist at the V.A.Fock Institute of Physics, St.Petersburg State University. During this time, he visited ICTP (Italy, 1993), University of Geneva (Switzerland, 1993-1994), University of Oulu (Finland,1995), Helsinki University of Technology (Finland, 1996, 1998), Free University of Berlin (Germany, 1997), and NORDITA (Denmark, 1998). In 1999 he became a staff research scientist at the State University of New York at Stony Brook. He joined the Institute for Microelectronics, TU Wien, in 2004. His scientific interests include device simulations, computational physics, solid-state physics, and nanoelectronics.

The Wigner Monte Carlo Method for Semiconductor Device Simulations

The breathtaking increase in computer performance is supported by the scalability of MOSFETs. The scaling theory has so far guaranteed an increase in transistor performance for each generation, and almost no changes have been required in transistor design until recently. However, with the 65 nm technology node in production, it becomes increasingly difficult to maintain the projected performance gain per generation while keeping the device leakage current within limits. In order to meet the projected performance gain per generation, novel engineering solutions are required to enhance the conventional scaling. Several options are available. New device architectures based on silicon-on-insulator (SOI) technology and multi-gate structures improve the channel control. Other options are mobility enhancement due to stress and reduction of leakage due to alternative gate oxide materials. Accurate transport modeling in SOI FETs for arbitrary substrate orientations and general stress conditions becomes the important issue, because it helps to reduce technology-development costs.
Degeneracy effects and intersubband scattering start determining electron mobility in single- and double-gate SOI FETs with a thin silicon body. This prompts the development of new, efficient Monte Carlo algorithms for transport simulations which take these effects into account. Technologically relevant stress in [110] direction produces off-diagonal elements of the strain tensor, which induce pronounced modification of the Si conduction band. Variations of both transversal and longitudinal masses with stress and valley shifts must be included in MOSFET transport models.
Scaling of MOSFETs below the 65 nm technology node makes the theoretical description and modeling of carrier transport in these devices challenging. The channel in such devices is so short that the carrier transport starts to be determined by quantum mechanical effects. The two major quantum effects to be taken into account are size quantization in the channel and quantum mechanical tunneling along the channel. Both effects call into question the use of powerful and well-developed simulation methods based on the semiclassical Boltzmann equation. Continued scaling of the MOSFET feature size well below 45 nm requires the development of new simulation techniques capable of incorporating the quantum effects properly. One of the promising approaches developed at the institute is the Wigner function method. An attractive feature of the Wigner function approach is that it also includes all scattering mechanisms in a natural way via the Boltzmann scattering integrals, allowing the development of a transport model which accounts for both quantum interference phenomena and realistic scattering mechanisms.


Diamonds: relative difference between two currents in n-i-n structures calculated with the Wigner Monte Carlo method (WTE) and the Boltzmann Monte Carlo method (BTE) as a function of the length of the intrinsic region. Squares: relative difference between two currents both calculated with the Wigner Monte Carlo method for n-i-n structures, with (WTE) and without (BALL) scattering inside the intrinsic region.


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