Dr. Christoph Kirsch

Aus- und Weiterbildung

Ausbildung

• PhD / Angewandte Mathematik
  Universität Basel
  04 / 2001 - 04 / 2005
• Diplom / Mathematik
  ETH Zürich
  10 / 1996 - 04 / 2001

Weiterbildung

CAS Hochschuldidaktik
PH Zürich
01 / 2017

Netzwerk

ORCID digital identifier

ORCID ID: 0000-0002-3515-6203

Projekte

• Fortschrittliche Bildanalyse und maschinelles Lernen für die PV-Qualitätssicherung / Teammitglied / abgeschlossen
• Advanced Materials and Characterization Tools for Quantum-Dot enhanced Displays / Teammitglied / abgeschlossen
• Skinobi – Affordable Sensor to Track Skin Condition and Age / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Bajrami, D. et al. (2024) ‘Variations of skin thermal diffusivity on different skin regions’, Skin Research and Technology, 30(3), p. e13622. doi: 10.1111/srt.13622.
• Kirsch, C. et al. (2022) ‘Development of a diffusion-weighed mathematical model for intradermal drainage quantification’, Drug Delivery and Translational Research, 12(4), pp. 897–905. doi: 10.1007/s13346-021-01114-1.
• Comi, E. et al. (2021) ‘Sinusoidal small-signal (AC) and steady-state (DC) analysis of large-area solar cells’, Solar Energy Advances, 1(100003). doi: 10.1016/j.seja.2021.100003.
• Steinmetz, L. et al. (2020) ‘Investigating a lock-in thermal imaging setup for the detection and characterization of magnetic nanoparticles’, Nanomaterials, 10(9). doi: 10.3390/nano10091665.
• Diethelm, M. et al. (2020) ‘Finite element modeling for analysis of electroluminescence and infrared images of thin-film solar cells’, Solar Energy, 209, pp. 186–193. doi: 10.1016/j.solener.2020.08.058.
• Zeder, S. et al. (2020) ‘Coupled 3D master equation and 1D drift‐diffusion approach for advanced OLED modeling’, Journal of the Society for Information Display, 28(5), pp. 440–449. doi: 10.1002/jsid.903.
• Jabbari, Y. et al. (2019) ‘Determination of the moisture transport coefficient from pore network simulations of spontaneous imbibition in capillary porous media’, Chemical Engineering Science, 207, pp. 600–610. doi: 10.1016/j.ces.2019.07.002.
• Diethelm, M. et al. (2018) ‘Quantitative analysis of pixel crosstalk in AMOLED displays’, Journal of Information Display, 19(2), pp. 61–69. doi: 10.1080/15980316.2018.1428232.
• Altazin, S. et al. (2018) ‘Refined drift-diffusion model for the simulation of charge transport across layer interfaces in organic semiconductor devices’, Journal of Applied Physics, 124(13), p. 135501. doi: 10.1063/1.5043245.
• Kirsch, C. et al. (2017) ‘Electrothermal simulation of large-area semiconductor devices’, The International Journal of Multiphysics, 11(2), pp. 127–136. doi: 10.21152/1750-9548.11.2.127.
• Le, K. H. et al. (2016) ‘Discrete pore network modeling of superheated steam drying’, Drying Technology, 35(13), pp. 1584–1601. doi: 10.1080/07373937.2016.1264414.
• Le, K. H. et al. (2016) ‘Pore network simulations of heat and mass transfer inside an unsaturated capillary porous wick in the dry-out regime’, Transport in Porous Media, 114(3), pp. 623–648. doi: 10.1007/s11242-016-0737-4.
• Altazin, S. et al. (2016) ‘Simulation of OLEDs with a polar electron transport layer’, Organic Electronics, 39, pp. 244–249. doi: 10.1016/j.orgel.2016.10.014.
• Jenatsch, S. et al. (2015) ‘Influence of chemically p-type doped active organic semiconductor on the film thickness versus performance trend in cyanine/C60 bilayer solar cells’, Science and Technology of Advanced Materials, 16(3). doi: 10.1088/1468-6996/16/3/035003.
• Kharaghani, A. et al. (2013) ‘Micro-scale fluid model for drying of highly porous particle aggregates’, Computers & Chemical Engineering, 52, pp. 46–54. doi: 10.1016/j.compchemeng.2012.12.003.
• Liu, Y. et al. (2013) ‘Effects of nano-patterned versus simple flat active layers in upright organic photovoltaic devices’, Journal of Physics D: Applied Physics, 46(2), p. 024008. doi: 10.1088/0022-3727/46/2/024008.
• Liu, Y. et al. (2013) ‘Balance between light trapping and charge carrier collection : electro-photonic optimization of organic photovoltaics with ridge-patterned back electrodes’, Journal of Applied Physics, 113(24). doi: 10.1063/1.4812235.
• Hosseini, S. M. H. et al. (2013) ‘Numerical simulation of Lamb wave propagation in metallic foam sandwich structures : a parametric study’, Composite Structures, 97, pp. 387–400. doi: 10.1016/j.compstruct.2012.10.039.
• Kirsch, C. and Mitran, S. (2012) ‘Simulated annealing electro-photonic optimization of organic solar cells’, Journal of Applied Physics. doi: 10.1063/1.4748314.
• Grote, M. J. and Kirsch, C. (2007) ‘Nonreflecting boundary condition for time-dependent multiple scattering’, Journal of Computational Physics, 221(1), pp. 41–62. doi: 10.1016/j.jcp.2006.06.007.
• Grote, M. J. and Kirsch, C. (2004) ‘Dirichlet-to-Neumann boundary conditions for multiple scattering problems’, Journal of Computational Physics, 201(2), pp. 630–650. doi: 10.1016/j.jcp.2004.06.012.

Buchbeiträge, peer-reviewed

Kharaghani, A. et al. (2015) ‘Liquid distribution and structural changes during convective drying of gels’, in Colloid process engineering. Springer, pp. 93–112. doi: 10.1007/978-3-319-15129-8_5.

Schriftliche Konferenzbeiträge, peer-reviewed

• Fehr, D. et al. (2024) ‘Semi-wearable LymphMeter : preliminary results from in-vivo validation’, in 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). IEEE. doi: 10.1109/bsn63547.2024.10780520.
• Comi, E. et al. (2022) ‘Electro-thermal model for lock-in infrared imaging of defects in perovskite solar cells’, in EU PVSEC Proceedings. WIP, pp. 241–246. doi: 10.4229/WCPEC-82022-2BO.8.3.
• Zubiaga, A. et al. (2021) ‘A simple instrument to measure the thermal transport properties of the human skin’, in Proceedings of the International Symposium on Medical Measurements and Applications. IEEE. doi: 10.1109/MeMeA52024.2021.9478754.
• Aeberhard, U. et al. (2020) ‘Computational device optimization and parameter extraction for perovskite-based solar cells’, in Freundlich, A., Sugiyama, M., and Collin, S. (eds) Physics, Simulation, and Photonic Engineering of Photovoltaic Devices IX. SPIE, p. 112750B. doi: 10.1117/12.2545507.
• Braga, D. et al. (2019) ‘Modeling electrical and optical cross‐talk between adjacent pixels in organic light‐emitting diode displays’, in SID International Symposium : Digest of Technical Papers. Wiley, pp. 953–956. doi: 10.1002/sdtp.13083.
• Aeberhard, U. et al. (2019) ‘Numerical optimization of organic and hybrid multijunction solar cells’, in 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC). IEEE, pp. 0105–0111. doi: 10.1109/PVSC40753.2019.8980824.
• Altazin, S. et al. (2015) ‘Simulations, measurements and optimization of OLEDs with scattering layer’, in SID international symposium : digest of technical papers. Wiley, pp. 564–567. doi: 10.1002/sdtp.10478.
• Altazin, S. et al. (2014) ‘Design tool for light scattering enhancement in OLEDs’, in Digest of Technical Papers. Wiley, pp. 576–579. doi: 10.1002/j.2168-0159.2014.tb00151.x.

Weitere Publikationen

• Penninck, L. et al. (2018) ‘Modelling crosstalk through common semiconductor layers in AMOLED displays’, Journal of the Society for Information Display, 26(9), pp. 546–554. doi: 10.1002/jsid.671.
• Altazin, S. et al. (2016) ‘Combining simulators and experiments to study the impact of polar OLED materials’, in SID Symposium Digest of Technical Papers. Wiley, pp. 1750–1753. doi: 10.1002/sdtp.11059.
• Altazin, S. et al. (2016) ‘On the role of polar molecules and the barrier for charge injection in OLEDs’, in So, F., Adachi, C., and Kim, J.-J. (eds) Proceedings of SPIE. doi: 10.1117/12.2238620.

Mündliche Konferenzbeiträge und Abstracts

• Braga, D. et al. (2025) ‘Investigating inhomogeneities and turn-on dynamics in carbon-based perovskite solar cells using advanced imaging and simulation techniques’, in Proceedings of the International Conference on Hybrid and Organic Photovoltaics. Fundació de la comunitat valenciana SCITO. doi: 10.29363/nanoge.hopv.2025.025.
• Comi, E. et al. (2023) ‘Investigation of time and location dependent variations in electroluminescence images of perovskite solar cells’, in Proceedings of the 40th European Photovoltaic Solar Energy Conference and Exhibition. München: WIP, pp. 020077–001–020077–022.

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