TY  - GEN
CY  - Heidelberg
Y1  - 2025///
AV  - public
A1  - Kollenz, Philipp
A1  - Herrle, Carina
A1  - Göhringer, Leonard
A1  - Wickenhäuser, Tom
A1  - Pernice, Wolfram
A1  - Klingeler, Rüdiger
A1  - Deschler, Felix
TI  - Excited State Reservoir Computing using Hybrid Perovskite Electrochemically-Gated Luminescent Cells
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/35906/
ID  - heidok35906
N2  - Physical reservoir computing aims to increase computational efficiency of machine learning tasks by shifting the computational burden to a physical system. Reservoirs based on ion dynamics are of particular interest due to the non-linear and integrative nature of ion transport. Here, we demonstrate all-optical operation of a physical reservoir based on electrochemical Li-ion doping of lead halide perovskite microcrystals. Optical excitation changes lithium ion insertion kinetics, which in turn modulate the luminescence response. The heterogenous structure of the crystals leads to a large internal state space of the reservoir. The device can be fabricated using solution-based fabrication and operated using LED illumination, reducing fabrication cost. Our proof-of-concept results demonstrate optically excited state dynamics and ion transport as a promising platform for physical reservoir computing.
ER  -