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Difference between revisions of "Influence of the Initial Filament Geometry on the Forming Step in CBRAM."

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(The Big Picture)
 
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[[Category:Available]]
 
[[Category:Available]]
 
[[Category:Master Thesis]]
 
[[Category:Master Thesis]]
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===Prerequisites===
 
===Prerequisites===

Latest revision as of 11:53, 4 September 2019

Short Description

Conductive bridging RAM (CBRAM)is operated via the formation and disruption of a metallic filament between two metal electrodes. The presence or absence of such a bridging filament results in a low (ON) or high (OFF) resistance state, respectively. The filament formation/disruption is controlled by applying an external voltage. In this project, you will focus on the so-called forming step, the initial formation of a metallic filament in an “unused” device. Starting from different electrodes with pre-definedfilament geometries (e.g. cone-shaped, see figure), you will evaluate their influence on the switching dynamics. The simulations will be performed by LAMMPS, a molecular dynamics simulator using force fields, and the resulting trajectories will be analyzed by your own Matlab scripts.

The Big Picture

Well-established memory technologies such as Flash and dynamic RAM (DRAM) have nearly reached their scaling limits in integration density while being limited in operating speed. Furthermore, more energy-efficient memory storage options could reduce its operating costs. CBRAMis a promising candidate that could address these issues.Unfortunately, the filament formation and dissolution mechanism remains poorly known.However, a more detailed understanding of these processes is essentialto increase the filament stability and the reliability of CBRAM as a device.Thus, investigations on an atomic level by the usage of computer-aided design (TCAD) tools are required.

Status: Available

Looking for 1 semester student
Interested candidates please contact: Jan Aeschlimann


Prerequisites

We are seeking for a candidate with a general interest in molecular modelling techniques(no former experience required). Basic knowledge in MATLAB is advantageous.

Character

20% theory, 10% model development, 70% simulation and analysis.

Professor

Mathieu Luisier

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