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:
- Thermal effects in semiconductor devices
- Noise in semiconductor devices (SDEs)
- Quantum Effects in semiconductor devices
- Electro-thermal coupling of optoelectronic semiconductor devices with electric circuits
- Efficient Co-Simulation of circuit/semiconductor problems (Dynamic Iteration schemes)
Former and ongoing projects
Cooperations
- Vittorio Romano, Università degli studi di Catania, Italy
- Giuseppe Ali, Universitá della Calabria, Italy
- Ansgar Jüngel, TU Vienna, Austria
- Pina Milisic, University of Zagreb, Croatia
Open subjects for theses
- Master Thesis: Two-dimensional thermal-electric simulation of semiconductor MOSFET-devices (M.Brunk)
Publications
- 2019
4017.
Ehrhardt, Matthias
Transparent nonlinear networks
Physical Review E, 100 (3) :032204
2019
Herausgeber: American Physical Society4016.
Ehrhardt, Matthias
Transparent nonlinear networks
Physical Review E, 100 (3) :032204
2019
Herausgeber: American Physical Society4015.
Ehrhardt, Matthias
Transparent nonlinear networks
Physical Review E, 100 (3) :032204
2019
Herausgeber: American Physical Society4014.
Ehrhardt, Matthias
Transparent quantum graphs
Physics Letters A, 383 (20) :2382–2388
2019
Herausgeber: North-Holland4013.
Ehrhardt, Matthias
Transparent quantum graphs
Physics Letters A, 383 (20) :2382--2388
2019
Herausgeber: North-Holland4012.
Ehrhardt, Matthias
Transparent quantum graphs
Physics Letters A, 383 (20) :2382–2388
2019
Herausgeber: North-Holland4011.
Pulch, Roland; Putek, Piotr; Maten, E. Jan W.; Schoenmaker, Wim
Uncertainty quantification: Introduction and implementations
In ter Maten, E. Jan W. and Brachtendorf, Hans-Georg and Pulch, Roland and Schoenmaker, Wim and De Gersem, Herbert, Editor aus Mathematics in Industry
Seite 197–221
Herausgeber: Springer Cham
2019
197–2214010.
Netzel, Katrin
Untersuchung von Lignin aus Papierabwässern mittels Py-GCxGC/TOF-MS und Ofenpyrolyse
20194009.
Karg, Patrick
Untersuchung zu Imid-Amid-Gleichgewichten bei Hydroxycarbonsäure-Amiden
20194008.
Rapp, Ulrike
Untersuchung zur Quantifizierung von Mikroplastik mittels offline-Py-GCxGC-MS
20194007.
Otte, Adrian
Untersuchungen von Holzproben aus unterschiedlichen Holzschichten
20194006.
Goss, Jonas
Untersuchungen von Totholz nicht-heimischer Arten in Arnsberg sowie Totholz von Mammutbäumen in Kaldenkirchen
20194005.
Schlösser, Leonie Gwindy
Untersuchungen zur Gewässersanierung
20194004.
[german] Kremer, Richard; Tausch, Michael W.
Unterwegs zur künstlichen Photosynthese - Photokatalytische Reduktionen in Modellexperimenten
Chemie und Schule, 34 (3) :15-29
20194003.
Eichfelder, Gabriele; Klamroth, Kathrin; Niebling, Julia
Using a {B}&{B} algorithm from multiobjective optimization to solve constrained optimization problems
AIP Conference Proceedings 2070
Herausgeber: AIP Publishing
20194002.
Bolten, M.; Hahn, C.
Using composite finite elements for shape optimization with a stochastic objective functional
In I. Farag{\'o} and F. Izs{\'a}k and P. L. Simon, Editor, Progress in Industrial Mathematics at ECMI 2018Band30ausMathematics in Industry, Seite 515--520
In I. Farag{\'o} and F. Izs{\'a}k and P. L. Simon, Editor
Herausgeber: Springer, Cham
20194001.
Bolten, Matthias; Hahn, C.
Using composite finite elements for shape optimization with a stochastic objective functional
In I. Farago and F. Izsak and P. L. Simon, Editor, Progress in Industrial Mathematics at ECMI 2018Band30ausMathematics in Industry, Seite 515-520
In I. Farago and F. Izsak and P. L. Simon, Editor
Herausgeber: Springer, Cham
20194000.
Bolten, M.; Hahn, C.
Using composite finite elements for shape optimization with a stochastic objective functional
In I. Farago and F. Izsak and P. L. Simon, Editor, Progress in Industrial Mathematics at ECMI 2018Band30ausMathematics in Industry, Seite 515-520
In I. Farago and F. Izsak and P. L. Simon, Editor
Herausgeber: Springer, Cham
20193999.
Janssen, Rick; Gillon, Renaud; Wieers, Aarnout; Deleu, Frederik; Guegnaud, Hervé; Reynier, Pascal; Schoenmaker, Wim; Maten, E. Jan W.
Validation of simulation results on coupled problems
In ter Maten, E. Jan W. and Brachtendorf, Hans-Georg and Pulch, Roland and Schoenmaker, Wim and De Gersem, Herbert, Editor aus Mathematics in Industry
Seite 517–563
Herausgeber: Springer Cham
2019
517–5633998.
Adam, Ahmad Y.; Yachmenev, Andrey; Yurchenko, Sergey N.; Jensen, Per
Variationally Computed IR Line List for the Methyl Radical CH\(_{3}\)
The Journal of Physical Chemistry A, 123 (22) :4755-4763
2019
Herausgeber: American Chemical Society3997.
Adam, Ahmad Y.; Yachmenev, Andrey; Yurchenko, Sergey N.; Jensen, Per
Variationally Computed IR Line List for the Methyl Radical CH\(_{3}\)
The Journal of Physical Chemistry A, 123 (22) :4755-4763
2019
Herausgeber: American Chemical Society3996.
Adam, Ahmad Y.; Yachmenev, Andrey; Yurchenko, Sergey N.; Jensen, Per
Variationally Computed IR Line List for the Methyl Radical CH3
The Journal of Physical Chemistry A, 123 (22) :4755-4763
2019
Herausgeber: American Chemical Society3995.
Weichold, Cathrerine; Behler, Ansgar; Melchior, David; Busch, Stefan; Kling, Hans-Willi; Lange, Karsten; Jakob, Bernd
Verfahren zur Herstellung einer oberflächenaktiven Mischung umfassend Kondensationsprodukte von alpha-Hydroxycarbonsäuren mit 1,2-Alkandiolen
20193994.
Weichold, Cathrerine; Behler, Ansgar; Melchior, David; Busch, Stefan; Kling, Hans-Willi; Lange, Karsten; Jakob, Bernd
Verwendung von 1,2-Alkandiolen als Schaumverbesserer für Citronensäureestertenside umfassend ethoxylierte Alkohole
20193993.
Ankirchner, Stefan; Kruse, Thomas; Urusov, Mikhail
Wasserstein convergence rates for random bit approximations of continuous Markov processes
Journal of Mathematical Analysis and Applications, 493 (2) :124543
2019
Herausgeber: Academic Press