Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Predicting the performance of solar cells though analytical models is important for the theory-guided optimization of these devices. Earlier models neglect the impact of the optical generation in the quasi-neutral regions of a perovskite solar cell. Here, a new model is developed that takes optical generation in these regions into account. The model includes the full depletion approximation and the drift-diffusion transport mechanisms. A comparison with earlier models demonstrates the improved predictive power of the developed model. In addition, the accuracy of the model was assessed by comparing it prediction to experimental data obtained from working devices.
Christophe Ballif, Quentin Thomas Jeangros, Christian Michael Wolff, Daniel Anthony Jacobs, Kerem Artuk, Xin Yu Chin
Yang Liu, Bowen Yang, Chen Li, Xin Guo, Sajjad Ahmad