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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Richardson, Giles
University of Southampton
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2020Deducing transport properties of mobile vacancies from perovskite solar cell characteristicscitations
- 2020Deducing transport properties of mobile vacancies from perovskite solar cell characteristicscitations
- 2020Identification of recombination losses and charge collection efficiency in a perovskite solar cell by comparing impedance response to a drift-diffusion modelcitations
- 2019How transport layer properties affect perovskite solar cell performancecitations
- 2019How transport layer properties affect perovskite solar cell performance: insights from a coupled charge transport/ion migration modelcitations
- 2017Migration of cations induces reversible performance losses over day/night cycling in perovskite solar cellscitations
- 2017A mathematical model for mechanically-induced deterioration of the binder in lithium-ion electrodescitations
- 2016Drift diffusion modelling of charge transport in photovoltaic devicescitations
- 2015Improving the Long-Term Stability of Perovskite Solar Cells with a Porous Al O Buffer Layercitations
- 2009An asymptotic analysis of the buckling of a highly shear-resistant vesiclecitations
- 2000The mixed boundary condition for the Ginzburg Landau model in thin filmscitations
Places of action
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booksection
Drift diffusion modelling of charge transport in photovoltaic devices
Abstract
Much thin film photovoltaic (PV) device research is based on a ‘shake and bake’ approach, uninformed by an understanding of the underlying mechanisms. These devices consist of several layers of different materials so that the number of potential materials combinations is enormous. Atomistic models do not work on the length scales needed to study charge transport so device models are essential. The drift diffusion (DD) method is appropriate for charge transport in layered devices. This chapter describes the concepts underpinning DD simulations, provides a ‘how to’ guide for 1-dimensional DD simulation and shows how rescaling the variables leads to considerable insight into the physics of the problem. Finding an equivalent circuit for an organic PV device is given as an example. Since DD models of organic PV devices are reviewed in Chapter 13, our main example shows how a more sophisticated approach, employing a spectral method that predicts coupled ion–electron conduction in perovskite devices, allows us to understand the effect of mobile ions on the operational mechanism of the device.