Applied and Computational Mathematics (ACM)

Semiconductor

Semiconductor devices are solid state bodies, whose electrical conductivity strongly depends on the temperature and other internal properties like the so-called doping. Depending on the temperature or other internal settigns, they can be regarded as insulator or conductor. (Physically speaken: Semiconductor materials have a band gap between.. and .. electron Volt)
This property makes them extremely useful in electronics, since this property can be easily employed to use them as switches. On nowadays computerchips and prozessors, millions of semiconductor devices (especially transistors) are included in an electronic circuit. In order to use common circuit simulation tools to simualte circuits containing those devices, semiconductor devices are often reflected by compact models - subcircuits of basic elements like resistors, capacitors, inductors and current/voltage sources. Those compact models shoul rebuild the input/output behaviour of the semiconductor device.

Ongoing miniaturization and the step from miro- to nanotechnology, however, leads to more powerful prozessors and chips, since higher packing density can be achieved. On the other hand, this higher packing density and miniaturization of the devices makes parasitic effects like heating predominant. Incorporation of those effects into compact models results in large compact models to describe a single semiconductor device. This makes it desireable to include more exact distributed device models - device models based on partial differential equations - into circuit simulation.

Moreover, smaller devices are driven by smaller signals, what makes them more energy efficient. On the other hand this results in a larger noise/signal ratio, what makes inclusion of non-deterministic effects into device models interesting. All in all, this leads to the following recent question in semiconductor/circuit modelling and simulation:

Former and ongoing projects

Cooperations

Open subjects for theses

  • Master Thesis: Two-dimensional thermal-electric simulation of semiconductor MOSFET-devices (M.Brunk)

Publications



2019

4167.

Bolten, M.; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
2019

4166.

Lübke, Steffen
Anreicherung der Pyrolyseprodukte von Mikroplastik auf Carbotrap{\circledR} 300 und Analytik mittels GCxGC/MS
2019

4165.

Kruse, Thomas; Urusov, Mikhail
Approximating exit times of continuous Markov processes
arXiv preprint arXiv:1904.04344
2019

4164.

Stiglmayr, Michael; Görtz, Simon; Klamroth, Kathrin
Assigning Students to Schools for an Internship
In Fortz B. and Labbé M., Editor, Operations Research Proceedings 2018, Seite 151-157
In Fortz B. and Labbé M., Editor
Herausgeber: Springer, Cham
2019

4163.

Glück, Jochen; Haase, Markus
Asymptotics of operator semigroups via the semigroup at infinity
Positivity and noncommutative analysis aus Trends Math.
Seite 167--203
Herausgeber: Birkhäuser/Springer, Cham
2019
167--203

4162.

Sezer, Ali Devin; Kruse, Thomas; Popier, Alexandre
Backward stochastic differential equations with non-Markovian singular terminal values
Stochastics and Dynamics, 19 (02) :1950006
2019
Herausgeber: World Scientific

4161.

Sezer, Ali Devin; Kruse, Thomas; Popier, Alexandre
Backward stochastic differential equations with non-Markovian singular terminal values
Stochastics and Dynamics, 19 (02) :1950006
2019
Herausgeber: World Scientific Publishing

4160.

Zaspel, Peter; Huang, Bing; Harbrecht, Helmut; Lilienfeld, O. Anatole
Boosting Quantum Machine Learning Models with a Multilevel Combination Technique: Pople Diagrams Revisited
J. Chem. Theory Comput., 15 (3) :1546-1559
2019

4159.

Bohrmann-Linde, Claudia; Kleefeldt, Simon
Can You See the Heat? - Using a Thermal Imaging Camera in the Chemistry Classroom
World Journal of Chemical Education, 7 (2) :179-184
2019

4158.

Rivela, Cynthia B.; Tovar, Carmen M.; Teruel, Mariano A.; Barnes, Ian; Wiesen, Peter; Blanco, María B.
CFCs replacements: Reactivity and atmospheric lifetimes of a series of Hydrofluoroolefins towards OH radicals and Cl atoms
Chemical Physics Letters, 714 :190-196
2019
Herausgeber: North-Holland

4157.

Rivela, Cynthia B.; Tovar, Carmen M.; Teruel, Mariano A.; Barnes, Ian; Wiesen, Peter; Blanco, Mar{í}a B.
CFCs replacements: Reactivity and atmospheric lifetimes of a series of Hydrofluoroolefins towards OH radicals and Cl atoms
Chemical Physics Letters, 714 :190-196
2019
Herausgeber: North-Holland

4156.

Rivela, Cynthia B.; Tovar, Carmen M.; Teruel, Mariano A.; Barnes, Ian; Wiesen, Peter; Blanco, Mar{í}a B.
CFCs replacements: Reactivity and atmospheric lifetimes of a series of Hydrofluoroolefins towards OH radicals and Cl atoms
Chemical Physics Letters, 714 :190-196
2019
Herausgeber: North-Holland

4155.

Bohrmann-Linde, Claudia; Kröger, Simone; Siehr, Ilona
Chemie 1 - Gymnasium G9 NRW
Herausgeber: C.C.Buchner
2019

4154.

Tausch, Michael W.; Meuter, Nico
Chemie mit Licht

4153.

Bock, Stefan; Klamroth, Kathrin
Combining Traveling Salesman and Traveling Repairman Problems: A multi-objective approach based on multiple scenarios
Computers and Operations Research, 112 :104766
2019

4152.

Treibert, Sarah; Brunner, Helmut; Ehrhardt, Matthias
Compartment models for vaccine effectiveness and non-specific effects for Tuberculosis
Mathematical Biosciences and Engineering, 16 (6) :7250–7298
2019
Herausgeber: AIMS Press

4151.

Treibert, Sarah; Brunner, Helmut; Ehrhardt, Matthias
Compartment models for vaccine effectiveness and non-specific effects for Tuberculosis
Mathematical Biosciences and Engineering, 16 (6) :7250--7298
2019

4150.

Treibert, Sarah; Brunner, Helmut; Ehrhardt, Matthias
Compartment models for vaccine effectiveness and non-specific effects for Tuberculosis
Mathematical Biosciences and Engineering, 16 (6) :7250–7298
2019
Herausgeber: AIMS Press

4149.

Gerlach, Moritz; Glück, Jochen
Convergence of positive operator semigroups
Trans. Amer. Math. Soc., 372 (9) :6603--6627
2019

4148.

Kienitz, Joerg; Acar, Sarp Kaya; Liang, Qian; Nowaczyk, Nikolai
Deep option pricing - Term structure models
SSRN Electronic Journal
2019
Herausgeber: Elsevier
ISSN: 1556-5068

4147.

Kleefeldt, Simon; Bohrmann-Linde, Claudia
Der Wärme auf der Spur [Lehrerband]
2019

4146.

Kleefeldt, Simon; Bohrmann-Linde, Claudia
Der Wärme auf der Spur [Schülerband]
2019

4145.

[german] Grandrath, Rebecca; Bohrmann-Linde, Claudia
Die biologische Brennstoffzelle im Chemieunterricht - Einfache Experimente mit kostengünstigen Materialien
CHEMKON, 26 (5) :196-202
2019
Herausgeber: Wiley

4144.

Cornelius, Soraya
Die perfekte Winterjacke. Ein praxisnahes Unterrichtsbeispiel zum Thema Wärmelehre
Science on Stage Deutschland e.V.
2019

4143.

Lang, Bruno; Müller, Dorothee; Arndt, Holger; Bartel, Andreas; Blankenagel, Karsten; Gottschalk, Hanno; Günther, Michael; Humbert, Ludger; Jacob, Birgit; Klamroth, Kathrin; Rüdiger, Barbara; Späth, Britta; Stiglmayr, Michael; Wyss, Christian
Die Stimmen der Fächer hören
In Michaela Heer and Ulrich Heinen, Editor, Die Stimmen der Fächer hören
Kapitel Fachlichkeitsaspekte im Mathematik- und Informatikstudium, Seite 413--428
Herausgeber: Schoeningh Ferdinand GmbH
Oktober 2019
413--428