Dr. Evelyne Knapp

Projects

• The only certainty is uncertainty: Uncertainty quantification in ML Prediction / Project leader / completed
• Advanced Imaging and Machine Learning for PV Quality Assurance / Project leader / completed
• Detailed building energy evaluation from large-area 3D thermography supporting a profitable energy future / Team member / completed
• Enhanced blood flow and pressure measurements with PhysioCath-microcatheter for reliable diagnosis of 'Ischemia with Non-Obstructive Coronary Artery' (INOCA) / Deputy project leader / completed

Publications

Articles in scientific journal, peer-reviewed

• Zbinden, O. et al. (2025) ‘Autoencoder for parameter estimation and current-voltage curve simulation of perovskite solar cells’, npj Computational Materials, 12(7). doi: 10.1038/s41524-025-01875-0.
• Zbinden, O., Knapp, E. and Tress, W. (2024) ‘Identifying performance limiting parameters in perovskite solar cells using machine learning’, Solar RRL, 8(6), p. 2300999. doi: 10.1002/solr.202300999.
• Torre Cachafeiro, M. A. et al. (2024) ‘Ion migration in mesoscopic perovskite solar cells : effects on electroluminescence, open circuit voltage, and photovoltaic quantum efficiency’, Advanced Energy Materials, 15(5), p. 2403850. doi: 10.1002/aenm.202403850.
• Battaglia, M. et al. (2023) ‘Deep ensemble inverse model for image-based estimation of solar cell parameters’, APL Machine Learning, 1(3), p. 036108. doi: 10.1063/5.0139707.
• 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.
• Diethelm, M. et al. (2019) ‘The dynamic emission zone in sandwich polymer light‐emitting electrochemical cells’, Advanced Functional Materials, 2019(1906803). doi: 10.1002/adfm.201906803.
• Neukom, M. T. et al. (2019) ‘Consistent device simulation model describing perovskite solar cells in steady-state, transient, and frequency domain’, ACS Applied Materials & Interfaces, 11(26), pp. 23320–23328. doi: 10.1021/acsami.9b04991.
• Jenatsch, S. et al. (2018) ‘Quantitative analysis of charge transport in intrinsic and doped organic semiconductors combining steady-state and frequency-domain data’, Journal of Applied Physics, 124(105501). doi: 10.1063/1.5044494.
• 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.
• Neukom, M. et al. (2017) ‘Why perovskite solar cells with high efficiency show small IV-curve hysteresis’, Solar Energy Materials & Solar Cells, 169, pp. 159–166. doi: 10.1016/j.solmat.2017.05.021.
• Monnier, C. A. et al. (2017) ‘Lock-In thermography as an analytical tool for magnetic nanoparticles: measuring heating power and magnetic fields’, The Journal of Physical Chemistry C, 121(48), pp. 27164–27175. doi: 10.1021/acs.jpcc.7b09094.
• 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.
• Knapp, E. and Ruhstaller, B. (2015) ‘Analysis of negative capacitance and self-heating in organic semiconductor devices’, Journal of Applied Physics, 117(13). doi: 10.1063/1.4916981.
• Knapp, E. and Ruhstaller, B. (2012) ‘The role of shallow traps in dynamic characterization of organic semiconductor devices’, Journal of Applied Physics, 112(2). doi: 10.1063/1.4739303.
• Knapp, E. and Ruhstaller, B. (2011) ‘Numerical impedance analysis for organic semiconductors with exponential distribution of localized states’, Applied Physics Letters, 99(9). doi: 10.1063/1.3633109.
• Knapp, E. and Ruhstaller, B. (2011) ‘Numerical analysis of steady-state and transient charge transport in organic semiconductor devices’, Optical and Quantum Electronics, 42(11–13), pp. 667–677. doi: 10.1007/s11082-011-9443-1.
• Knapp, E. et al. (2010) ‘Numerical simulation of charge transport in disordered organic semiconductor devices’, Journal of Applied Physics, 108(5), pp. 054504–1–054504–8. doi: 10.1063/1.3475505.
• Häusermann, R. et al. (2009) ‘Coupled opto-electronic simulation of organic bulk-heterojunction solar cells : parameter extraction and sensitivity analysis’, Journal of Applied Physics, 106(10), p. 104507. doi: 10.1063/1.3259367.

Written conference contributions, peer-reviewed

• 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.
• Knapp, E. et al. (2021) ‘XGBoost trained on synthetic data to extract material parameters of organic semiconductors’, in Proceedings of the 8th SDS. IEEE, pp. 46–51. doi: 10.1109/SDS51136.2021.00015.
• 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.
• 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.
• Knapp, E. and Ruhstaller, B. (2015) ‘Analysis of self-heating and negative capacitance in organic semiconductors devices’, in International Symposium of the Society for Information display (SID), San Jose, USA, 21 May - 5 June 2015. Wiley, pp. 778–781. doi: 10.1002/sdtp.10224.
• Altazin, S. et al. (2013) ‘Multi-scale modeling of organic light-emitting devices’, in SID International Symposium: Digest of Technical Papers. Wiley, pp. 1486–1489. doi: 10.1002/j.2168-0159.2013.tb06529.x.

Other publications

• Diethelm, M. et al. (2018) ‘Optimized electrolyte loading and active film thickness for sandwich polymer light-emitting electrochemical cells’, Advanced Optical Materials, 7(3). doi: 10.1002/adom.201801278.
• 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.
• 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.
• Knapp, E. and Ruhstaller, B. (2015) ‘Analysis of self-heating and trapping in organic semiconductor devices’, in So, F., Adachi, C., and Kim, J.-J. (eds) Organic Light Emitting Materials and Devices XIX. SPIE. doi: 10.1117/12.2185712.

Oral conference contributions and abstracts

• Jenatsch, S. et al. (2025) ‘Assessing the origins and impacts of inhomogeneities in perovskite solar cells by imaging techniques and device simulations’, in Proceedings of the MATSUS Fall 2025 Conference. Fundació de la comunitat valenciana SCITO. doi: 10.29363/nanoge.matsusfall.2025.213.
• 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.
• Zbinden, O., Knapp, E. and Tress, W. (2024) ‘Machine learning for surpassing limits in perovskite solar cells’, in International Conference on Simulation of Organic Electronics and Photovoltaics 2024. ZHAW Zurich University of Applied Sciences, p. 34. Available at: https://www.zhaw.ch/storage/engineering/institute-zentren/icp/veranstaltungen/simoep-2024/boa-simoep-24-v-august30.pdf.
• 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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