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Difference between revisions of "Implementation of Computationally Efficient Scattering Mechanisms for Periodic Devices and 2D Materials"

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(The Big Picture)
 
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===Status: Available ===
 
===Status: Available ===
: Looking for 1 Master student
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: Looking for 1 Master/semester student
: Interested candidates please contact: [mailto:tagarwal@iis.ee.ethz.ch Dr.Tarun Agarwal]
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: Interested candidates please contact: [mailto:dleonard@iis.ee.ethz.ch Leonard Deuschle]  
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[[Category:Available]]
 
[[Category:Available]]
 
[[Category:Master Thesis]]
 
[[Category:Master Thesis]]
 
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[[Category:Hot]]
  
 
===Prerequisites===
 
===Prerequisites===
We are seeking a candidate with a strong interest in physics of nanoscale devices and advanced models to design the novel devices.
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We are seeking a candidate with a strong interest in implementation of physical models and some background in
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semiconductor devices. Basic knowledge of semiconductor quantum transport formalism (NEGF) will be helpful
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but not required. Knowledge of C++ parallelization libraries such as MPI and CUDA as well as a basic grasp on
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High Performance Computing is advantageous but not necessary.
  
 
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: Supervision: [[:User:Mluisier | Mathieu Luisier]]
 
: Supervision: [[:User:Mluisier | Mathieu Luisier]]
 
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===Type of Work===
 
===Type of Work===
: 20% Theory, 40% Simulation & 40% analysis
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: Theory and mathematical formulation: 30%
 
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: Modeling with MATLAB/Python: 25%
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: Parallelization and Integration in C++: 45%
  
 
===Professor===
 
===Professor===

Latest revision as of 16:06, 16 September 2021

Short Description

The goal of this thesis is to extend the functionality of a state of the art industrial quantum transport solver based on the effective mass approximation to include scattering mechanisms for 2D materials and generally devices that are periodic in at least one of the three spacial dimensions.

The Big Picture

2D materials have seen a surge of interest in recent years for their advantageous electronic properties. For industrial applications, devices need to be able to be simulated quickly and accurately. Full-band and/or Density Functional Theory (DFT) models are usually too computationally demanding. A similar case can be made for FinFETs, which are 3D components that can be approximated as 2D slices, where the high dimension can be treated as periodic

Status: Available

Looking for 1 Master/semester student
Interested candidates please contact: Leonard Deuschle

Prerequisites

We are seeking a candidate with a strong interest in implementation of physical models and some background in semiconductor devices. Basic knowledge of semiconductor quantum transport formalism (NEGF) will be helpful but not required. Knowledge of C++ parallelization libraries such as MPI and CUDA as well as a basic grasp on High Performance Computing is advantageous but not necessary.


Type of Work

Theory and mathematical formulation: 30%
Modeling with MATLAB/Python: 25%
Parallelization and Integration in C++: 45%

Professor

Mathieu Luisier

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