Publication date: 15th May 2026
Halide perovskites are often discussed in terms of their remarkable optoelectronic performance, but their most distinctive feature may be their chemically and ionically dynamic nature. Unlike conventional semiconductors, these materials possess soft lattices, low formation energies, mobile ionic species, and strong coupling to electrical and environmental stimuli. These characteristics are frequently associated with instability, hysteresis, and device-to-device variability. Yet the same phenomena can also be exploited to create new functionality when understood and controlled.
In this talk focuses on how chemical dynamics can be turned from a limitation into a design parameter across halide perovskite technologies. First, in tin-based perovskites, sulfur-containing molecular additives can regulate precursor coordination and crystallization, suppress Sn(II) oxidation, and reshape degradation pathways. Under realistic stress conditions, these materials reveal reversible transformations and even spontaneous performance recovery, showing that degradation in soft semiconductors is not always a one-way process. Second, I will show how ionic redistribution and electrochemical processes can be harnessed in perovskite memristors, where resistive switching emerges from the same dynamic material response that complicates photovoltaic operation. This provides a direct link between defect chemistry, ion migration, and computing-oriented device functionality.
Because these materials evolve during operation, understanding them requires characterization tools that move beyond static snapshots. I will discuss operando approaches that combine impedance spectroscopy with luminescence analysis to separate fast electronic processes from slower ionic and interfacial dynamics, quantify non-radiative losses, and identify the onset of reversible and irreversible degradation. Together, these results illustrate how embracing chemical dynamics can guide the development of more robust perovskite devices for energy conversion and information processing, while offering broader insight into hybrid semiconductors whose functionality is inseparable from their evolving chemical state.
This work is part of the grant CNS2023-144270 and the project PID2023-151880OB-C31 funded by MICIU/AEI/10.13039/501100011033 and by European Union NextGenerationEU/PRTR. We acknowledge funding by Generalitat Valenciana for the funding via Pla Gent-T (grant ESGENT 010/2024).
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