This symposium brings together expert researchers from modelling, simulation and characterization with the main objective of demonstrating the latest developments on next generation of highly efficient and stable emerging OptoElectroIonic devices, from solar cells, LEDs, photodetectors, memristors, batteries, capacitors, fotoelectrodos, etc… with special focus on OptoElectroIonic perovskite solar cells.
From modelling and simulation, essential topics as drift-diffusion simulations, opto-electro-ionic modelling, machine learning, device optimization, device degradation and physical mechanisms at different time scales will be addressed.
From characterization, a special emphasis on general and advanced characterization techniques (including in-situ characterization) focused on device performance, stability (Lab-scale cells and modules) and reliability (industry modules).
- Numerical device modelling and simulation of OptoElectroIonic devices: perovskite solar cells, tandem devices, LEDs, memristors, detectors, batteries…
- Characterization techniques focused on device performance, stability (Lab-scale cells and modules) and reliability (industry modules)
- Protocols
- Degradation models – bayesians, machine learning methods
- In-situ characterization for stability assessment
- Machine learning for spectroscopy analysis