| year | 2026 |
| author(s) | Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler. |
| title | Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells |
| KIP-Nummer | HD-KIP 26-06 |
| KIP-Gruppe(n) | F31 |
| document type | Paper |
| source | https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202512575 |
| doi | https://doi.org/10.1002/adma.202512575 |
| Abstract (en) | We introduce a neuromorphic reservoir computing concept that leverages the complex interplay between electronic and ionic states in lead halide perovskites to run algorithms by harnessing opto-ionic modulation of photoexcited state populations. The system leverages the heterogeneous material microstructure and ultrafast spatio-temporal electronic state dynamics in perovskite microcrystals to generate a high-dimensional internal state space reservoir within the charge carrier populations. This reservoir exhibits complex, nonlinear, and adaptive behavior. The computation output is read directly from the photogenerated luminescence using diffraction-limited resolution with 106 nodes per cm2 and energy of 800 pJ per node-operation. The system performs robustly in distinguishing 4-bit pulse sequences with a mean accuracy of 87%, showcasing its potential for neuromorphic computing tasks. Our work reveals excited-state dynamics as a platform for exploring nanoscale computing with photoactive materials, also at high speeds using ultrafast photophysics, with large potential for the development of next-generation neuromorphic technologies. |
