Thermal Coupling

The performance of high-tech circuitry such as processors and power devices also largely depends on the thermal level. Semiconductor devices loss their ability of fast switching if the temperature increases to much. Furthermore after a critical temperature is reached the device will be destroyed. Therefore monitoring temperature and regulating cooling are important issues.
In our research, we set up simulation models for semiconductor equations and integrated circuits, which incorporate transient temperature changes in the device and heat conduction between devices. That is an electric network as well as semiconductor equations have to be equipped with an appropriate model for power transfer and heat conduction.
Since this multiphysical problem of coupled electric networks and heat conduction exhibits widely separated time scales, not only the model but also the numerical algorithms need be design to enable fast simulations. Multirate cosimulation is an good choice if the coupling is appropriately set up. Please see also: (Coupled DAEs).
Publications
- 2019
4191.
Steppert, Ann-Kathrin; Mikosch, Annabel; Haraszti, Tamás; Göstl, Robert; Kuehne, Alexander J. C.
Reversible Laser Threshold Modulation in Dithienylethene Conjugated Polymer Blends: A Concept for q-Switching in Organic DFB Lasers
ACS Photonics, 6 (2) :558--564
Februar 20194190.
Fernández-Castaño Romera, Marcos; Göstl, Robert; Shaikh, Huda; Huurne, Gijs; Schill, Jurgen; Voets, Ilja K.; Storm, Cornelis; Sijbesma, Rint P.
Mimicking Active Biopolymer Networks with a Synthetic Hydrogel
Journal of the American Chemical Society, 141 (5) :1989--1997
Februar 2019
ISSN: 0002-78634189.
[german] Zückert, Rebecca; Bohrmann-Linde, Claudia
Experimente zur Brennstoffzelle als zentrales Thema nachhaltiger Entwicklung
Band 39 aus Tagungsband der Gesellschaft für Didaktik der Chemie und Physik
Kapitel Naturwissenschaftliche Bildung als Grundlage für berufliche und gesellschaftliche Teilhabe, Seite 667-670
Herausgeber: Christian Maurer, Gesellschaft für Didaktik der Chemie und Physik (GDCP), Regensburg
Februar 2019
667-6704188.
Bohrmann-Linde, Claudia; Krüger, J.; Schneiderhahn, K.
Chemie Baden-Würtemberg 8-10
Herausgeber: C.C.Buchner
20194187.
Bohrmann-Linde, Claudia; Krüger, J.; Schneiderhahn, K.
Chemie 3 (Baden-Würtemberg)
Herausgeber: C.C.Buchner
20194186.
Bohrmann-Linde, Claudia; Krüger, J.; Schneiderhahn, K.
Chemie 2 (Baden-Württemberg)
Herausgeber: C.C.Buchner, Bamberg
20194185.
Häring, Andreas P.
2,2-Diazido-1,2-diarylethanones: Synthesis and Reactivity with Primary Amines
European Journal of Organic Chemistry, 2019 (17) :2824–2831
2019
ISSN: 1099-06904184.
Haack, Alexander; Crouse, Jeff; Schlüter, Femke-Jutta; Benter, Thorsten; Hopkins, W. Scott
A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering
Journal of The American Society for Mass Spectrometry, 30 (12) :2711-2725
20194183.
Haack, Alexander; Crouse, Jeff; Schl{ü}ter, Femke-Jutta; Benter, Thorsten; Hopkins, W. Scott
A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering
Journal of The American Society for Mass Spectrometry, 30 (12) :2711-2725
20194182.
Haack, Alexander; Crouse, Jeff; Schl{ü}ter, Femke-Jutta; Benter, Thorsten; Hopkins, W. Scott
A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering
Journal of The American Society for Mass Spectrometry, 30 (12) :2711-2725
20194181.
Glück, Jochen
A short note on band projections in partially ordered vector spaces
Indag. Math. (N.S.), 30 (1) :1--6
20194180.
Przybylski, Anthony; Klamroth, Kathrin; Lacour, Renaud
A simple and efficient dichotomic search algorithm for multi-objective mixed integer linear programs
Dokument Nummer: 1911.08937
arXiv
20194179.
Tong, My Linh; Mohr, Fabian
A Synthetic Route Toward Tetrazoles: The Thermolysis of Geminal Diazides
Chemistry – A European Journal, 25 (50) :11725–11733
2019
ISSN: 1521-37654178.
Fackler, Stephan; Glück, Jochen
A toolkit for constructing dilations on Banach spaces
Proc. Lond. Math. Soc. (3), 118 (2) :416--440
20194177.
Ankirchner, Stefan; Klein, Maike; Kruse, Thomas
A verification theorem for optimal stopping problems with expectation constraints
Applied Mathematics & Optimization, 79 (1) :145--177
2019
Herausgeber: Springer US4176.
Ankirchner, Stefan; Klein, Maike; Kruse, Thomas
A verification theorem for optimal stopping problems with expectation constraints
Applied Mathematics & Optimization, 79 :145–177
2019
Herausgeber: Springer New York4175.
Teng, Long; Clevenhaus, Anna
Accelerated implementation of the ADI schemes for the Heston model with stochastic correlation
JCS, 36 :101022
2019
ISSN: 1877-75034174.
Teng, Long; Clevenhaus, Anna
Accelerated implementation of the ADI schemes for the Heston model with stochastic correlation
Journal of Computational Science, 36 :101022
2019
Herausgeber: Elsevier4173.
Gillon, Renaud; Wieers, Aarnout; Deleu, Frederik; Götthans, Tomáš; Janssen, Rick; Schoenmaker, Wim; Maten, E. Jan W.
Ageing models and reliability prediction
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 425–455
Herausgeber: Springer Cham
2019
425–4554172.
Zaspel, Peter
Algorithmic Patterns for H-Matrices on Many-Core Processors
J. Sci. Comput., 78 (2) :1174-1206
20194171.
Kruse, Thomas; Strack, Philipp
An inverse optimal stopping problem for diffusion processes
Mathematics of Operations Research, 44 (2) :423--439
2019
Herausgeber: INFORMS4170.
Kruse, Thomas; Strack, Philipp
An inverse optimal stopping problem for diffusion processes
Mathematics of Operations Research, 44 (2) :423–439
2019
Herausgeber: INFORMS4169.
Bolten, Matthias; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
20194168.
Bolten, M.; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
20194167.
Bolten, M.; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
2019