Erasmus Langer
Siegfried Selberherr
Abel Barrientos
Oskar Baumgartner
Hajdin Ceric
Johann Cervenka
Otmar Ertl
Lado Filipovic
Wolfgang Gös
Klaus-Tibor Grasser
Philipp Hehenberger
René Heinzl
Hans Kosina
Alexander Makarov
Goran Milovanovic
Mihail Nedjalkov
Neophytos Neophytou
Roberto Orio
Vassil Palankovski
Mahdi Pourfath
Karl Rupp
Franz Schanovsky
Zlatan Stanojevic
Ivan Starkov
Franz Stimpfl
Viktor Sverdlov
Stanislav Tyaginov
Stanislav Vitanov
Paul-Jürgen Wagner
Thomas Windbacher

Alexander Makarov
MSc
makarov(!at)iue.tuwien.ac.at
Biography:
Alexander Makarov was born in Volgograd, Russia, in 1985. He studied information technology at the Volgograd State Technical University, where he received the BSc degree in 2006 and MSc degree in 2008. He joined the Institute for Microelectronics in October 2009, where he is currently working on his doctoral degree. His scientific interests include Monte-Carlo simulations and nonvolatile memory device modeling.

Stochastic Modeling of the Resistive Switching Mechanism in Oxide-Based Memory

With Flash memory rapidly approaching the physical limits of scalability, research on new memory concepts has significantly accelerated. Resistive Random Access Memory (RRAM) is a promising candidate for future memory applications due to its high density, excellent scalability, and simple structure. RRAM is also characterized by low operating voltage (less than 2V), fast switching speed (below 10 ns), and a long retention time. In the literature, a broad spectrum of electronic and/or ionic switching mechanisms for oxide-based memory has been suggested: a model based on trapping of charge carries, electrochemical migration of oxygen vacancies, electrochemical migration of oxygen ions, a unified physical model, a filament anodization model, a thermal dissolution model, and others. However, a proper fundamental understanding of the switching mechanism is still missing and is thus a high priority task.
We associate the resistive switching behavior in oxide-based memory with the formation and rupture of a Conductive Filament (CF). The CF is formed by localized oxygen vacancies or domains of oxygen vacancies. Formation and rupture of a CF is due to a redox reaction in the oxide layer under a voltage bias. The conduction is due to electron hopping between these oxygen vacancies. For modeling of the Set and Reset process in oxide-based memory by Monte Carlo techniques, we describe dynamics of oxygen ions and electrons in an oxide layer as follows: 1) an electron hops into an oxygen vacancy from an electrode; 2) an electron hops from an oxygen vacancy to an electrode; 3) an electron hops between two oxygen vacancies; 4) formation of an oxygen vacancy by an oxygen ion moving to an interstitial position; 5) annihilation of the oxygen vacancy by moving the oxygen ion to the oxygen vacancy; 6) movement of the oxygen ion between the interstitials.


Schematic illustration of conduction filament (grey sphere is oxygen vacancy, red sphere is ion of oxygen, blue sphere is vacancy occupied by electron).


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