Photo-Iontronics in Halide Perovskites: From Self-Powered Electronics to In-Sensor Computing
Ramesh Kumar a b
a Light Technology Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany
b Innovationlab, Heidelberg, Germany
Proceedings of Neuronics Conference 2026 (Neuronics26)
Seoul, Korea, Republic of, 2026 September 8th - 10th
Organizers: Valeria Bragaglia and Seyoung Kim
Oral, Ramesh Kumar, presentation 026
Publication date: 24th July 2026

Photo-iontronics, defined as the synergistic interplay among electrons, ions, and light, offers
unique opportunities for designing multifunctional devices for next-generation neuromorphic
computing hardware. Mixed electronic-ionic semiconductors, particularly metal halide
perovskites, challenge conventional optoelectronic paradigms through their unique
combination of exceptional optoelectronic properties and intrinsic ionic conductivity.1 While
ion migration is often regarded as detrimental to device stability, it also enables new
functionalities, opening exciting directions for photo-iontronic devices. By integrating ionic
conduction with optoelectronic responses, photo-iontronics could provide a platform for self-
powered, energy-efficient, and neuromorphic device architectures.
In this talk, I will discuss ionic conduction in halide perovskite-based optoelectronics, covering
both lead-based and lead-free perovskite materials.1, 2 By exploiting the coupled ionic and
optoelectronic properties of these materials, we have developed device architectures that
integrate energy harvesting and energy storage within a single platform.3 Furthermore, I will
present a three-terminal electrolyte-gated perovskite optoelectronic device capable of operating
as switchable OR, AND, and universal NOR logic gates.4 In this architecture, the migration of
electrolyte ions, controlled by the gate voltage, induces surface polarization that dynamically
modulates the conductivity of the perovskite channel. Finally, I will provide an outlook on
photo-iontronics as a promising platform for multifunctional devices toward in-sensor
computing.

R.K. acknowledges support from the Young Investigator Group Preparation Program, funded jointly through the University of Excellence Strategy Fund at the Karlsruhe Institute of Technology (KIT) and the Ministry of Science, Research, and the Arts of Baden- Württemberg, Germany.

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