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[[File:Simulation of the optical properties of nanostructured solar cells.png|320px|thumb]]
 
 
==Short Description==
 
==Short Description==
Your task is to investigate algorithms and/or develop a software to generate the geometric model of electrodes in Li-ion batteries.
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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.
Nanostructures such as quantum wells, nanowires, or quantum dots are attracting a lot of attention as the active components of photovoltaic devices due to their improved energy conversion efficiency. To design them, it is important to precisely know where their conduction and valence band edges lie and how the resulting light absorption spectrum looks like. At the Integrated Systems Laboratory, we have recently developed a device simulator that allows one to construct nanostructures atom by atom and accurately calculate their optical properties. Presently, this modeling tool assumes that electrons and holes are captured within the simulation domain and cannot escape it. However, in reality, a current flows through the considered nanostructures, thus impacting the distribution of the electron and hole population. The goal of this project is to extend the existing simulation approach so that current flows can be taken into account in the calculation of the optical properties of solar cells.
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==The Big Picture==
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Well-established memory technologies such as Flash and dynamic RAM (DRAM) have nearly reached their scaling limits  in  integrationdensity while  being  limited  in  operating  speed. Furthermore, more energy-efficient  memory storage options could reduce itsoperating costs. CBRAMis a promising candidate that could address these issues.Unfortunately, the filament formation and dissolution mechanism remainspoorly known.However, a more detailed understanding of these processes is essentialto increase the filament stability and the reliabilityof CBRAM as a device.Thus, investigations on an atomic level by the usage ofcomputer-aided design (TCAD) toolsarerequired.
  
 
===Status: Available ===
 
===Status: Available ===
: Looking for 1..2 Semester/Master student(s)
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: Looking for 1 semester student  
: Contact: [[:User:Mluisier | Mathieu Luisier]]
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: Interested candidates please contact: [mailto:aejan@iis.ee.ethz.ch Jan Aeschlimann]  
===Prerequisites===
 
: Interest in device physics
 
: Flair for computational modeling
 
: Experience with Matlab and/or C/C++ programming
 
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===Status: Completed ===
 
: Fall Semester 2014 (sem13h2)
 
: Matthias Baer, Renzo Andri
 
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===Status: In Progress ===
 
: Student A, StudentB
 
: Supervision: [[:User:Mluisier | Mathieu Luisier]]
 
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===Character===
 
: 40% Theory
 
: 40% Implementation
 
: 20% Testing
 
 
 
===Professor===
 
: [http://www.nano-tcad.ethz.ch/en/general-information/people/professors/uid/6326.html Mathieu Luisier]
 
 
 
[[#top|↑ top]]
 
==Detailed Task Description==
 
 
 
===Goals===
 
===Practical Details===
 
* '''[[Project Plan]]'''
 
* '''[[Project Meetings]]'''
 
* '''[[Design Review]]'''
 
* '''[[Coding Guidelines]]'''
 
* '''[[Final Report]]'''
 
* '''[[Final Presentation]]'''
 
  
==Results==
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[[Category:Nano-TCAD]]
 
[[Category:Nano-TCAD]]
 
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[[Category:Available]]
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[[Category:Master Thesis]]
 
 
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[[Category:Digital]]
 
[[Category:Analog]]
 
[[Category:Nano-TCAD]]
 
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[[Category:Available]]
 
[[Category:In progress]]
 
[[Category:Completed]]
 
 
[[Category:Hot]]
 
[[Category:Hot]]
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===Prerequisites===
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We are seeking for a candidate with a general interest in molecular modelling techniques(no former experience required). Basic knowledge in MATLABis advantageous.
  
TYPE OF WORK
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===Character===
[[Category:Semester Thesis]]
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20% theory, 10% model development, 70% simulation and analysis.
[[Category:Master Thesis]]
 
[[Category:PhD Thesis]]
 
[[Category:Research]]
 
  
NAMES OF EU/CTI/NT PROJECTS
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===Professor===
[[Category:UltrasoundToGo]]
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<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini] --->
[[Category:IcySoC]]
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<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=78758 Qiuting Huang] --->
[[Category:PSocrates]]
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: [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=80923 Mathieu Luisier]
[[Category:UlpSoC]]
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<!-- :[http://www.iis.ee.ethz.ch/people/person-detail.MjUwODc0.TGlzdC8xOTgzLDIxMjc1NTkyODc=.html Taekwang Jang] --->
[[Category:Qcrypt]]
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<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=79172 Andreas Schenk] --->
  
YEAR (IF FINISHED)
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Latest revision as of 15:34, 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 integrationdensity while being limited in operating speed. Furthermore, more energy-efficient memory storage options could reduce itsoperating costs. CBRAMis a promising candidate that could address these issues.Unfortunately, the filament formation and dissolution mechanism remainspoorly known.However, a more detailed understanding of these processes is essentialto increase the filament stability and the reliabilityof CBRAM as a device.Thus, investigations on an atomic level by the usage ofcomputer-aided design (TCAD) toolsarerequired.

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 MATLABis advantageous.

Character

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

Professor

Mathieu Luisier

↑ top