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



2023

5143.

Stroka, S.; Haussmann, N.; Zang, M.; Schmuelling, B.; Clemens, M.
GPU-Based Near Real-Time Estimation of the Human Body Penetrating Low-Frequency Magnetic Fields Using Free-Space Field Measurements
IEEE Transactions on Magnetics, 59 (5) :1-4
2023

5142.

[german] Gökkus, Yasemin; Kremer, Richard; Zeller, Diana; Bohrmann-Linde, Claudia
H5P angereicherte Videos für den Chemieunterricht und die Lehrkräfteausbildung
In Bohrmann-Linde, C.; Gökkuş, Y.; Kremer, R.; Zeller, D., Editor, Band Netzwerk Digitalisierter Chemieunterricht. Sammelband NeDiChe-Treff 2021
Seite 9-18
Herausgeber: Chemiedidaktik. Bergische Universität Wuppertal
2023
9-18

5141.

Kienitz, Jörg
Hedging in the age of statistical learning
Wilmott, 2023 (126) :94–102
2023
Herausgeber: Wilmott Magazine

5140.

Morejon, Leonel; Kampert, Karl-Heinz
Implementing hadronic interactions in CRPropa to study bursting sources of UHECRs
PoS, ICRC2023 :285
2023

5139.


Improved Common $t\bar{t}$ Monte-Carlo Settings for ATLAS and CMS
CERN, Geneva
2023

5138.

Jacob, Birgit; Zwart, Hans
Infinite-dimensional linear port-Hamiltonian systems on a one-dimensional spatial domain: An Introduction
2023

5137.

Finster, Rebecca; Grogorick, Linda; Kronschläger, Thomas; Robra-Bissantz, Susanne
Information Security Awareness: die kompetente Essenz für eine gesicherte digitale Zukunft
Gemeinschaft neuer Medien (GeNeMe)
Dresden
2023

5136.

Schweitzer, Marcel
Integral representations for higher-order Frechet derivatives of matrix functions: Quadrature algorithms and new results on the level-2 condition number
Linear Algebra Appl., 656 :247-276
2023

5135.

Schweitzer, Marcel
Integral representations for higher-order Frechet derivatives of matrix functions: Quadrature algorithms and new results on the level-2 condition number
Linear Algebra Appl., 656 :247-276
2023
Herausgeber: Elsevier

5134.

Kiendler-Scharr, Astrid; Becker, Karl-Heinz; Doussin, Jean-François; Fuchs, Hendrik; Seakins, Paul; Wenger, John; Wiesen, Peter
Introduction to Atmospheric Simulation Chambers and Their Applications
In Doussin, Jean-François and Fuchs, Hendrik and Kiendler-Scharr, Astrid and Seakins, Paul and Wenger, John, Editor, A Practical Guide to Atmospheric Simulation Chambers
Seite 1—72
Herausgeber: Springer International Publishing, Cham
2023
1—72

ISBN: 978-3-031-22276-4 978-3-031-22277-1

5133.

[en] Lauer, Patrick; Arnold, Lukas; Brännström, Fabian
Inverse modelling of pyrolization kinetics with ensemble learning methods
Fire Safety Journal
Januar 2023
ISSN: 03797112

5132.

Lars, Thun
Investigation of time constraints for quality prediction in arc welding using deep learning
2023

5131.

Abdul Halim, Adila; others
Investigations of a Novel Energy Estimator using Deep Learning for the Surface Detector of the Pierre Auger Observatory
PoS, ICRC2023 :275
2023

5130.

Khosrawi-Rad, Bijan; Salierno, Gianluca N.; Bunda, Michele; Grogorick, Linda; Robra-Bissantz, Susanne
Inwiefern motivieren Spielmechaniken unterschiedlich? – Ein Vergleich beim Game-based Learning
Gemeinschaft neuer Medien (GeNeMe)
Dresden
2023

5129.

Albi, Giacomo; Ferrarese, Federica; Totzeck, Claudia
Kinetic based optimization enhanced by genetic dynamics
2023

5128.

[german] Cornelius, Soraya; Bohrmann-Linde, Claudia
Kompetenzförderung durch Erklärvideos in einem Selbstlernbuch zum Einstieg in die Organische Chemie
MNU-Journal, 01.2023 :48-54
2023
ISSN: 0025-5866

5127.

[german] Zeller, Diana; Bohrmann-Linde, Claudia
Kritischer Umgang mit Videos im naturwissenschaftlichen Unterricht (KriViNat)
In Wilke, T.; Rubner, I., Editor, Band DiCE-Tagung 2023 - Digitalisation in Chemistry Education
Herausgeber: Friedrich-Schiller-Universität Jena, Institut für Anorganische und Analytische Chemie, Jena
2023

5126.

Botchev, M. A.; Knizhnerman, L. A.; Schweitzer, M.
Krylov subspace residual and restarting for certain second order differential equations
SIAM J. Sci. Comput. :S223-S253
2023

5125.

Frommer, Andreas; Kahl, Karsten; Schweitzer, Marcel; Tsolakis, Manuel
Krylov subspace restarting for matrix Laplace transforms
SIAM J. Matrix Anal. Appl., 44 (2) :693-717
2023

5124.

Frommer, Andreas; Kahl, Karsten; Schweitzer, Marcel; Tsolakis, Manuel
Krylov subspace restarting for matrix Laplace transforms
SIAM J. Matrix Anal. Appl., 44 (2) :693-717
2023

5123.

Khosrawi-Rad, Bijan; Grogorick, Linda; Keller, Paul; Schlimbach, Ricarda; Di Maria, Marco; Robra-Bissantz, Susanne
Let’s Quiz?! – Assessing the Learner’s Preferences with a Pedagogical Conversational Agent
Gemeinschaft neuer Medien (GeNeMe)
Dresden
2023

5122.

[german] Tausch, Michael W.
Licht und Farbe – ein Muss für den Chemieunterricht
CHEMKON, 30
2023

5121.

Gesell, Hendrik; Janoske, Uwe
Magnetohydrodynamic Analysis of Load Shifting in Hall-Héroult Cells
Journal of Sustainable Metallurgy :1--9
2023
Herausgeber: Springer International Publishing Cham

5120.

Matyokubov, Kh Sh; Ehrhardt, Matthias
Manakov system on metric graphs: Modeling the reflectionless propagation of vector solitons in networks
Physics Letters, Section A, 479 :128928
2023
Herausgeber: North-Holland

5119.

Matyokubov, Kh Sh; Ehrhardt, Matthias
Manakov system on metric graphs: Modeling the reflectionless propagation of vector solitons in networks
Physics Letters, Section A, 479 :128928
2023
Herausgeber: North-Holland