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



2025

5502.

Hilbig, André
Barrieren im Informatikunterricht identifizieren und auflösen
NakoDI -Nachwuchskonferenz der Didaktik der Informatik
Morschach, Schweiz
2022
Gesellschaft für Informatik
2025

5501.

Vinod, Vivin; Zaspel, Peter
Benchmarking data efficiency in Δ-ML and multifidelity models for quantum chemistry
The Journal of Chemical Physics, 163 (2) :024134
2025
ISSN: 0021-9606

5500.

Hellmig, Lutz; Burk, Steffen; Hennecke, Martin; Herper, Henry; Hilbig, André; Michaeli, Tilman; Mittag, Alexander; Pasternak, Arno; Puhlmann, Hermann; Röhner, Gerhard; Rücker, Michael; Schmalfeldt, Thomas; Spalteholz, Wolf; Stechert, Peer
Bildungsstandards Informatik für die Sekundarstufe I – Empfehlungen der Gesellschaft für Informatik
Herausgeber: Gesellschaft für Informatik e.V.
2025

5499.

Kiesling, Elisabeth; Bohrmann-Linde, Claudia
Carbon Capture and Storage - Nachweis von adsorbiertem Kohlenstoffdioxid
Naturwissenschaften im Unterricht Chemie, 1/25 :Versuchskarteikarte
2025

5498.

Clément, François; Doerr, Carola; Klamroth, Kathrin; Paquete, Luís
Constructing Optimal Star Discrepancy Sets
accepted in Proceedings of the AMS
2025

5497.

Diaz, Ignacio; Gorrec, Yann Le; Wu, Yongxin
Control Oriented Modular Modelling of a Floating Wind Turbine: The Port-Hamiltonian Approach
IFAC-PapersOnLine, 59 (8) :125-130
2025

5496.

Schaller, Manuel; Schmitz, Merlin; Jacob, Birgit; Farkas, Bálint
Dissipativity-based time domain decomposition for optimal control of hyperbolic {PDE}s
2025

5495.

Lachetta, Michael; Schmitz, Denise; Morawski, Michael; Humbert, Ludger; Kuckuck, Miriam
Einschätzungen von Grundschullehrkräften zur Relevanz von informatischer Bildung in der Grundschule
Seite 93-109
Herausgeber: Verlag Julius Klinkhardt, Bad Heilbrunn
2025
93-109

5494.

Holzenkamp, Matthias; Lyu, Dongyu; Kleinekathöfer, Ulrich; Zaspel, Peter
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials.
Machine Learning: Science and Technology
2025

5493.

Lyu, Dongyu; Vinod, Vivin; Holzenkamp, Matthias; Holtkamp, Yannick M.; Maity, Sayan; Salazar, Carlos R.; Kleinekathöfer, Ulrich; Zaspel, Peter
Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A study employing Multifidelity Machine Learning.
Adv. Theory Simul., 8 (11) :e00271
2025

5492.

Song, Yongcun; Wang, Ziqi; Zuazua, Enrique
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Neural Network, 181
Januar 2025

5491.

Kienitz, J; Moodliyar, L
Gaussian views explained
Wilmott, 2025 (135) :72–77
2025
Herausgeber: Wilmott Magazine

5490.

Xu, Zhuo; Tucsnak, Marius
Global Exponential Stabilization for a Simplified Fluid-Particle Interaction System
Januar 2025

5489.

Bartel, Andreas; Schaller, Manuel
Goal-oriented time adaptivity for port-Hamiltonian systems
Journal of Computational and Applied Mathematics, 461 :116450
2025
ISSN: 0377-0427

5488.

Schmitz, Denise
Grundschullehrkräfte zwischen informatischer Bildung und Medienbildung
In Jan Grey, Denise Schmitz, Inga Gryl, Alexander Best, Miriam Kuckuck, Ludger Humbert, Editor
Seite 41-50
Herausgeber: Verlag Julius Klinkhardt, Bad Heilbrunn
2025
41-50

5487.

Grey, Jan; Schmitz, Denise; Gryl, Inga; Best, Alexander; Kuckuck, Miriam; Humbert, Ludger
Herausforderungen und Möglichkeiten informatischer Bildung in der Grundschule
In Jan Grey, Denise Schmitz, Inga Gryl, Alexander Best, Miriam Kuckuck, Ludger Humbert, Editor
Seite 7-23
Herausgeber: Verlag Julius Klinkhardt, Bad Heilbrunn
2025
7-23

5486.

Schäfers, Kevin; Finkenrath, Jacob; Günther, Michael; Knechtli, Francesco
Hessian-free force-gradient integrators
Computer Physics Communications, 309 :109478
2025
ISSN: 0010-4655

5485.

Schäfers, Kevin; Finkenrath, Jacob; Günther, Michael; Knechtli, Francesco
Hessian-free force-gradient integrators
Computer Physics Communications, 309 :109478
2025
ISSN: 0010-4655

5484.

Schäfers, Kevin; Finkenrath, Jacob; Günther, Michael; Knechtli, Francesco
Hessian-free force-gradient integrators and their application to lattice QCD simulations
PoS, LATTICE2024 :025
2025

5483.

Schäfers, Kevin; Finkenrath, Jacob; Günther, Michael; Knechtli, Francesco
Hessian-free force-gradient integrators and their application to lattice QCD simulations
PoS, LATTICE2024 :025
2025

5482.

Krhac, Kaja; Schuller, Frederic P.; Stramigioli, Stefano
Hybrid Schrödinger-Liouville and projective dynamics
IFAC-PapersOnLine, 59 (8) :208-213
2025

5481.

Shaju, K.; Laepple, T.; Hirsch, N.; Zaspel, P.
Ice borehole thermometry: Sensor placement using greedy optimal sampling
Geoscientific Instrumentation, Methods and Data Systems, 14 (2) :459—474
2025

5480.

Brinda, Torsten; Diethelm, Ira; Dittert, Nadine; Humbert, Ludger; Kramer, Matthias; Losch, Daniel; Schmitz, Denise
Informatics Competencies for All Teachers - Development of Recommendations for Teacher Education
OCCE 2024
Bournemouth, UK
2025

5479.

Bergner, Nadine; Humbert, Ludger; Schmitz, Denise; Fricke, Martin
Informatik kommt in die Grundschule
In Jan Grey, Denise Schmitz, Inga Gryl, Alexander Best, Miriam Kuckuck, Ludger Humbert, Editor
Seite 231-249
Herausgeber: Verlag Julius Klinkhardt, Bad Heilbrunn
2025
231-249

5478.

Hilbig, André; Schmitz, Denise
Informatikdidaktische Sicht auf Barrierefreiheit als Unterrichts- und Forschungsgegenstand
INFOS 2025 – 21. GI-Fachtagung Informatik und Schule
Stoos, Schweiz
2025