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

Lado Filipovic
MSc
filipovic(!at)iue.tuwien.ac.at
Biography:
Lado Filipovic was born in Sarajevo, Yugoslavia in 1983. He studied electrical engineering at Carleton University, in Ottawa, Canada, where he received the degree of Bachelor in electrical engineering (2006) and Master in applied science (2009). He joined the Institute for Microelectronics in January 2010, where he is currently working on his doctoral degree. His scientific interest is focused on simulating thermal oxidation growth on silicon wafers using the level set method.

Process Simulations using the Level Set Method with Monte Carlo

The Level Set simulator for moving boundary problems has already been developed at this institute. The simulator uses Level Sets in order to identify and advance silicon wafer surfaces and interfaces between different materials on a silicon chip for various physical processes. Nanolithography using Non-Contact Mode Atomic Force Microscopy (NCM-AFM) is a promising method for the manufacture of nanoscale devices. Compact models, which suggest patterned oxide dots and wires with Gaussian or Lorentzian profiles, are implemented in the Level Set simulator. An alternative to compact models is explored with a physics based Monte Carlo model, where the AFM tip is treated as a point charge and the silicon wafer as an infinite conducting plane. The strength of the generated electric field creates oxyions, which accelerate towards the silicon surface and cause oxide growth and surface deformations. A physics based model is developed, generating dots and wires based on the induced surface charge density. Comparisons to empirical models suggest that a Lorentzian profile is better suited to describe surface deformations when compared to the Gaussian profile. Simulating a three-dimensional AFM problem using a Lorentzian model requires a two-dimensional Lorentzian particle distribution around the AFM needle tip. A successful algorithm for a two-dimensional Lorentzian distribution was found by integrating the probability distribution, while taking two-dimensional slabs of the surface into consideration. A second evenly distributed value is used to generate a radial distribution. The resulting location of each particle can then be obtained, resulting in a physical representation of a NCM-AFM generated nanodot or nanowire.
The possibility of using the Level Set simulator for spray pyrolysis deposition was also explored. Spray pyrolysis is a process by which a thin film is deposited by spraying a solution onto a heated surface. In order to simulate such a process, large aspect ratios need to be considered; the solution droplets travel relatively large distances (~10-50cm) compared to the nanometer scale of the wafer geometry. The ambience must also be divided into two sections: one where the droplets travel unaffected by the thermal gradient and a second where the increased temperature and thermal gradient play a major role in droplet movement as well as the location of each single particle deposition. The Monte Carlo method is used to simulate the movement of the droplet and particles in the ambience, while a Chemical Vapor Deposition (CVD) model is used to simulate the interaction between the droplet and the wafer surface.


Non-contact mode atomic force microscopy nanowires and nanodot generated using the level set simulator.


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