Difference between revisions of "Investigation of Redox Processes in CBRAM"
m (Emborasa moved page Investigation of Redox Processes inCBRAM to Investigation of Redox Processes in CBRAM)
Revision as of 17:50, 3 September 2019
he goal of this project is to determine the relevant Redox processes taking place at metal/oxide interfaces and derive the parameters describing them. For this purpose, the electronic structure of exemplary systems represinting the different reaction stages (e.g. metallic atom in bulk metal, metal ion at the metal/oxide interface, metal ion dissolved in the oxide) will be calculated. These simulations will be conducted on our in-house HPC clusters using density functional theory (DFT). From the obtained data sets, the student will derive the essential parameters by using post-processing and analysis scripts. If time allows (Master’s thesis), the developed work flow will be applied to a large number of different metal/oxide pairs so that their applicability in CBRAM applications can be validated.
The Big Picture
Conductive bridging RAM (CBRAM)is an emerging (non-)volatile memory storage technolgy. Its operation principle relies on the repeatable formationand disruption of a metallic filament bridging an oxide layer sandwiched between two electrodes. The electrochemical properties ofthe metal/oxide interface play a crucial roleby determining the rates of the Redox reactions.The latter strongly influences the growth,dissolutionand stabilityof the filament.The Nano-TCAD group has developed an electrochemical model in COMSOL to simulate ON/OFF switching in CBRAM. So far, the model still depends on a number of free input parameters, among them critical onessuch as the Redox parameters of the involved chemical species. Therefore, we aim at replacingthese by values derived from DFT. Eventually, this refined model should not only help us to understand and confirm results obtained from experimental measurements, but could also be used to predict the behaviour of new, not-yet-fabricated devices.
- Looking for 1 Master student
- Interested candidates please contact: Jan Aeschlimann
We are looking for a candidate with a general interest in electrochemistry and molecular modelling techniques(no former experience required). Basic knowledge in MATLAB and/or Python is advantageous.
- Theory (30%), model development (40-60%), simulation & analysis (10-30%)