Publication date: 15th December 2025
The performance and stability of perovskite solar cells are strongly influenced by the intricate coupling between electronic charge transport and ionic migration. This interplay governs slow dynamical responses, hysteresis, and memory effects that emerge during device operation and degradation. In this work, we apply a dynamic model that simultaneously accounts for electronic processes and ionic redistribution, enabling a detailed interpretation of these phenomena.
The model reproduces characteristic impedance features observed experimentally, including both capacitive and inductive behavior. In particular, the appearance of an inductive loop is explained as a form of chemical inductance, arising from delayed feedback between ion migration and electronic recombination or transport. This mechanism parallels the nonlinear, history-dependent responses reported in perovskite memristors, where coupled ionic–electronic dynamics produce pronounced hysteresis and memory effects.
By integrating impedance spectroscopy with time-domain transient measurements, we extract distinct time constants associated with charge accumulation, ion migration, and carrier recombination, and we monitor their evolution during degradation. Two main degradation pathways are identified: (i) reduced charge collection, which limits photocurrent, and (ii) increased recombination, which lowers photovoltage.
Correlating these dynamical electrical signatures with physical mechanisms allows us to build a comprehensive framework linking hysteresis, chemical inductance, and degradation in perovskite solar cells. This approach establishes a powerful diagnostic strategy to elucidate and mitigate performance losses in emerging perovskite optoelectronic technologies. 1-3
Funded by the European Research Council (ERC) via Horizon Europe Advanced Grant, grant agreement nº 101097688 ("PeroSpiker").
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