Halide Perovskites Under Real Operation: From Outdoor Photovoltaics to Neuromorphic Edge Devices
Emmanuel Kymakis a
a Department of Electrical & Computer Engineering, Hellenic Mediterranean University, Heraklion, Crete, Greece.
Proceedings of Hybrid and Perovskite materials for energy, lighting, sensing and computing (HYPE26)
Athens, Greece, 2026 June 22nd - 24th
Organizers: Maria Vasilopoulou and Thomas Stergiopoulos
Invited Speaker, Emmanuel Kymakis, presentation 018
Publication date: 15th May 2026

Halide perovskites underpin two converging frontiers in optoelectronics: scalable photovoltaics and neuromorphic computing. Yet the same coupled ionic–electronic transport that makes them versatile also drives the degradation and metastable phenomena that limit operational lifetimes. Because halide migration, phase segregation and ion redistribution emerge only under realistic biasing, illumination and thermal cycling, ex situ tools alone cannot capture them. Our group addresses this gap with an operando workflow that combines in-house transient and steady-state electrical setups,  light, bias and temperature resolved  with dedicated post-mortem characterisation, closing the loop between device behaviour and material evolution.

I will discuss two complementary case studies. At high TRL, outdoor ISOS-O monitoring of large-area perovskite modules at the HMU Solar Farm, the world’s first perovskite outdoor testbed [1] — reveals how combined illumination, temperature, humidity and bias drive long-term degradation, including partial dark-storage recovery and the emergence of visual defects [2]. This methodology underpins our upscaling pipeline from 156 cm² modules to 0.73 m² panels [3] and the recent demonstration of MXene-driven nanoscale field-effect junctions for 4-terminal perovskite/silicon tandem modules [4]. At low TRL, we link internal ion dynamics to resistive switching in Pb-free perovskite optoelectronic memristors: electrode engineering of AgBiI₄ devices enables a deterministic transition between volatile and non-volatile regimes, supporting dual-mode multifunctional neuromorphic operation [5], while inorganic Cs–Bi–I memristors exhibit threshold switching suitable for energy-efficient neuron emulation [6].

Taken together, these results illustrate how an operando-by-design approach, anchored in the mechanistic understanding of ion–defect interactions, accelerates the rational engineering of perovskite optoelectronics for outdoor energy harvesting and edge-side neuromorphic computing.

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