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



2022

4993.

Aad, Georges; others
Measurements of observables sensitive to colour reconnection in $t\bar{t}$ events with the ATLAS detector at $\sqrt{s}=13$ TeV
Eur. Phys. J. C, 83 (6) :518
September 2022

4992.

Amin Zargaran, Uwe Janoske
Prediction of the mixing efficiency in rotor-stator system for high viscous mixtures based on a combined Lagrangian particle approach with an Immersed-Boundary Method
September 2022

4991.

Brunnert, Rainer
Photoprozesse im bilingualen Chemie- und Biologieunterricht: eine explorative Studie
August 2022

4990.

Bensberg, Kathrin; Kirsch, S. F.
Reactions with Geminal Diazides: Long Known, Full of Surprises, and New Opportunities
Synthesis, 54 :4447-4460
August 2022
Herausgeber: Thieme
ISSN: 0039-7881

4989.

Klok, Harm-Anton; Herrmann, Andreas; Göstl, Robert
Force ahead: Emerging Applications and Opportunities of Polymer Mechanochemistry
ACS Polymers Au, 2 (4) :208--212
August 2022

4988.

Bohrmann-Linde, Claudia; Siehr, Ilona
CHEMIE Einführungsphase Nordrhein-Westfalen
Herausgeber: C.C.Buchner Verlag, Bamberg
August 2022

ISBN: 9783661060019

4987.

Alvarez, Elena Gómez; Carslaw, Nicola; Dusanter, Sébastien; Edwards, Pete; Gábor Mihucz, Viktor; Heard, Dwayne; Kleffmann, Jörg; Nehr, Sascha; Schoemacker, Coralie; Venables, Dean
Techniques for measuring indoor radicals and radical precursors
Applied Spectroscopy Reviews, 57 (7) :580—624
August 2022
ISSN: 0570-4928, 1520-569X

4986.

Mironova, Irina A; Kirsch, S. F.; Zhdankin, Viktor V; Yoshimura, Akira; Yusubov, Mekhman S
Hypervalent Iodine-Mediated Azidation Reactions
European Journal of Organic Chemistry, 34
Juli 2022
ISSN: 1434-193X

4985.

Niggemann, L. P.; Göstl, Robert
Mechanoresponsive Functional Polymer Materials
aus Smart Materials Series
Seite 604--636
Herausgeber: Royal Society of Chemistry
2 Edition
Juli 2022
604--636

ISBN: 978-1-83916-277-0

4984.

Xuan, Mingjun; Schumacher, Christian; Bolm, Carsten; Göstl, Robert; Herrmann, Andreas
The Mechanochemical Synthesis and Activation of Carbon-Rich π-Conjugated Materials
Advanced Science, 9 (19) :2105497
Juli 2022
ISSN: 2198-3844

4983.

[german] Zeller, Diana; Stinken-Rösner, Lisa; Meier, Monique
Interaktive Videoformate für den naturwissenschaftlichen Unterricht. Vom Rezipieren zum Interagieren
Unterricht Biologie, 475 :44-47
Juli 2022

4982.

[german] Grandrath, Rebecca; Bohrmann-Linde, Claudia
Strom aus Bäckerhefe
Nachrichten aus der Chemie, 70 (7-8) :18-21
Juli 2022

4981.

[german] Grandrath, Rebecca; Bohrmann-Linde, Claudia
Entwicklung eines lowcost Experiments für den Chemieunterricht am Beispiel der enzymatischen Brennstoffzelle mit Lactase
CHEMKON, 29 (S1) :233-238
Juni 2022

4980.

[german] Zeller, Diana
Medialab – ein dreistufiges Modul zur Entwicklung digitalisierungsbezogener Kompetenzen im Studium des Chemie‐ und Sachunterrichtslehramts
CHEMKON, 29 (S1) :287-292
Juni 2022

4979.

Zou, Miancheng; Zhao, Pengkun; Fan, Jilin; Göstl, Robert; Herrmann, Andreas
Microgels as drug carriers for sonopharmacology
Journal of Polymer Science, 60 (12) :1864--1870
Juni 2022
ISSN: 2642-4169

4978.

[german] Kiesling, Elisabeth; Venzlaff, Julian; Bohrmann-Linde, Claudia
BNE im Chemieunterricht – von der Leitlinie BNE NRW zur exemplarischen Unterrichtseinbindung
CHEMKON, 29 (S1) :239-245
Juni 2022

4977.

Muniz, M.; Ehrhardt, M.; Günther, M.; Winkler, R.
Strong stochastic Runge-Kutta-Munthe-Kaas methods for nonlinear Itô SDEs on manifolds
IMACM preprint 22/14
Juni 2022

4976.

[english] Bohrmann-Linde, Claudia; Zeller, Diana; Meuter, Nico; Tausch, Michael W.
Teaching Photochemistry: Experimental Approaches and Digital Media
ChemPhotoChem, 6 (6) :1-11
Juni 2022

4975.

Baumann, Christoph; Göstl, Robert
Triazole-Extended Anthracenes as Optical Force Probes
Synlett, 33 (9) :875--878
Juni 2022
ISSN: 0936-5214, 1437-2096

4974.

Voss C., Janoske U.
A surrogate approach to rapidly predict particle collection on single fiber using computational fluid dynamics and machine learning
Machine Learning und Artificial Intelligence in Strömungsmechanik und Strukturanalyse
Herausgeber: NAFEMS
Mai 2022

4973.

Tovar, Carmen Maria; Barnes, Ian; Bejan, Iustinian Gabriel; Wiesen, Peter
Kinetic study of the atmospheric oxidation of a series of epoxy compounds by OH radicals
Atmospheric Chemistry and Physics, 22 (10) :6989—7004
Mai 2022
ISSN: 1680-7324

4972.

others
Manakov system on metric graphs: Modeling the reflectionless propagation of vector solitons in networks
arXiv preprint arXiv:2206.01283, 479 :128928
Mai 2022
ISSN: 0375-9601

4971.

[german] Zeller, Diana; Meier, Monique
Videos interaktiv erweitern - Forschendes Lernen vielseitig unterstützen
Digital Unterricht Biologie, 4 :10-11
Mai 2022

4970.

Izak-Nau, Emilia; Braun, Susanne; Pich, Andrij; Göstl, Robert
Mechanically Resistant Poly(N-vinylcaprolactam) Microgels with Sacrificial Supramolecular Catechin Hydrogen Bonds
Advanced Science, 9 (12) :2104004
April 2022
ISSN: 2198-3844

4969.

Huo, Shuaidong; Liao, Zhihuan; Zhao, Pengkun; Zhou, Yu; Göstl, Robert; Herrmann, Andreas
Mechano-Nanoswitches for Ultrasound-Controlled Drug Activation
Advanced Science, 9 (12) :2104696
April 2022
ISSN: 2198-3844