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Level-Set Method, Eikonal Equation, Parallel Programming, Splitting Methods, Commutator-free exponential time propagators (CFETs), Error Estimators , Technical Mathematics
Austria, Austria

Biography

Michael Quell was born in 1993 in Vienna, Austria. He received his Bachelor's degree and the degree of Diplomingenieur in Technical Mathematics from the Technische Universität Wien in 2016 and 2018, respectively. After finishing his studies he joined the Institute for Microelectronics in June 2018, where he got his PhD 2022, with his thesis: "Parallel velocity extension and load-balanced Re-distancing on hierarchical grids for high performance process TCAD". He is currently working at Silvaco.

Activities

Employment (4)

TU Wien: Vienna, AT

Employment
Source: check_circle
TU Wien

Silvaco: Vienna, AT

2022-03-01 to present | Development Engineer
Employment
Source: Self-asserted source
Michael Quell

TU Wien: Vienna, Wien, AT

2018-06-04 to 2022-02-28 | Univ.Ass. (Institute for Microelectronics)
Employment
Source: Self-asserted source
Michael Quell

TU Wien: Vienna, Wien, AT

2014-09-15 to 2016-09-14 | Stud.Ass. (Institut für Analysis und Scientific Computing)
Employment
Source: Self-asserted source
Michael Quell

Education and qualifications (3)

TU Wien: Vienna, Wien, AT

2018-06-04 to 2022-01-13 | Doctor of Philosophy in Electrical Engineering (Institute for Microelectronics)
Education
Source: Self-asserted source
Michael Quell

TU Wien: Vienna, Wien, AT

2016-03-20 to 2018-03-20 | Master of Science Technical Mathematics (Institut für Analysis und Scientific Computing)
Education
Source: Self-asserted source
Michael Quell

TU Wien: Vienna, Wien, AT

2012-10-01 to 2016-03-10 | Bachelor of Science Technical Mathematics (Institut für Analysis und Scientific Computing)
Education
Source: Self-asserted source
Michael Quell

Works (18)

Parallel Velocity Extension and Load-Balanced Re-Distancing on Hierarchical Grids for High Performance Process TCAD

2021-12-01 | Dissertation/Thesis
Contributors: Michael Quell
Source: Self-asserted source
Michael Quell

Parallel Velocity Extension for Level-Set-Based Material Flow on Hierarchical Meshes in Process TCAD

IEEE Transactions on Electron Devices
2021-11 | Journal article
Contributors: Michael Quell; Vasily Suvorov; Andreas Hossinger; Josef Weinbub
Source: check_circle
Crossref

Shared-memory block-based fast marching method for hierarchical meshes

Journal of Computational and Applied Mathematics
2021-08 | Journal article
Contributors: Michael Quell; Georgios Diamantopoulos; Andreas Hössinger; Josef Weinbub
Source: check_circle
Crossref

The Level-Set Method for Multi-Material Wet Etching and Non-Planar Selective Epitaxy

IEEE Access
2020 | Journal article
Contributors: Alexander Toifl; Michael Quell; Xaver Klemenschits; Paul Manstetten; Andreas Hossinger; Siegfried Selberherr; Josef Weinbub
Source: check_circle
Crossref

A posteriori error estimation for Magnus-type integrators

ESAIM: Mathematical Modelling and Numerical Analysis
2019 | Journal article
Part of ISBN: 978-3-902627-11-7
EID:

2-s2.0-85062351927

Source: Self-asserted source
Michael Quell
grade
Preferred source (of 2)‎

Novel numerical dissipation scheme for level-set based anisotropic etching simulations

International Conference on Simulation of Semiconductor Processes and Devices, SISPAD
2019 | Conference paper
EID:

2-s2.0-85074353918

Contributors: Toifl, A.; Quell, M.; Hossinger, A.; Babayan, A.; Selberherr, S.; Weinbub, J.
Source: Self-asserted source
Michael Quell via Scopus - Elsevier

Parallelized level-set velocity extension algorithm for nanopatterning applications

International Conference on Simulation of Semiconductor Processes and Devices, SISPAD
2019 | Conference paper
EID:

2-s2.0-85074335183

Contributors: Quell, M.; Toifl, A.; Hossinger, A.; Selberherr, S.; Weinbub, J.
Source: Self-asserted source
Michael Quell via Scopus - Elsevier

Practical splitting methods for the adaptive integration of nonlinear evolution equations. Part II: Comparison of local error estimation and step-selection strategies for nonlinear Schrödinger and wave equations

Computer Physics Communications
2019 | Journal article
Part of ISBN: 978-3-902627-10-0
EID:

2-s2.0-85053372068

Source: Self-asserted source
Michael Quell
grade
Preferred source (of 2)‎

Recent Advances in High Performance Process TCAD

CSE19 Abstracts
2019 | Conference paper
Source: Self-asserted source
Michael Quell

Adaptive Magnus-type integrators for the simulation of solar cells

2018 | Other
Source: Self-asserted source
Michael Quell

Splitting-Verfahren für nichtlineare Evolutionsgleichungen

TU Wien
2018-04-01 | Dissertation/Thesis
Contributors: Michael Quell
Source: Self-asserted source
Michael Quell

Adaptive high-order splitting methods for systems of nonlinear evolution equations with periodic boundary conditions

Numerical Algorithms
2017 | Journal article
EID:

2-s2.0-84989824507

Part of ISBN: 978-3-902627-08-7
Source: Self-asserted source
Michael Quell
grade
Preferred source (of 2)‎

Adaptive integration of large linear systems of Schrödinger type with time-dependent coefficients using Magnus-type methods

2017 | Other
Source: Self-asserted source
Michael Quell

Adaptive integrators for Schrödinger-type equations

2017 | Other
Source: Self-asserted source
Michael Quell

Runtime comparison solving Gray-Scott equation on different OpenCL devices

Proceedings of the 4th International Workshop on OpenCL - IWOCL '16
2016 | Conference poster
Source: Self-asserted source
Michael Quell
grade
Preferred source (of 2)‎

Adaptive High-order Time-Splitting Methods for Systems of Evolution Equations: Applications in Quantum Dynamics and Pattern Formation

2015 | Other
Source: Self-asserted source
Michael Quell

Splittingverfahren für die Gray-Scott-Gleichung

ASC Report 07/2015
2015 | Book chapter
Part of ISBN: 978-3-902627-08-7
Source: Self-asserted source
Michael Quell

Solving the Klein-Gordon equation using Fourier spectral methods: A benchmark test for computer performance

2015-01-19 | Preprint
EID:

2-s2.0-84937424430

Source: Self-asserted source
Michael Quell
grade
Preferred source (of 2)‎