Memlumor: a luminescent memory device for photonic neuromorphic computing
Alexandr Marunchenko, Jitendra Kumar, Alexander Kiligaridis, Shraddha, M. Rao, Dmitry Tatarinov, Ivan Matchenya, Elizaveta Sapozhnikova, Ran Ji,, Oscar Telschow, Julius Brunner, Anatoly Pushkarev, Yana Vaynzof, Ivan G., Scheblykin

TL;DR
Memlumor is an all-optical, memory-capable device that combines volatile and non-volatile effects using metal halide perovskites, enabling advanced photonic neuromorphic computing with diverse physical operation mechanisms.
Contribution
The paper introduces the memlumor, a novel all-optical device that integrates memory and luminophore functionalities, demonstrating complex memory effects in a single platform for neuromorphic computing.
Findings
Demonstrated coexistence of volatile and non-volatile memory effects in memlumor.
Utilized metal halide perovskites as a versatile material platform.
Explored multiple realizations of memlumor-based computing.
Abstract
Neuromorphic computing promises to transform the current paradigm of traditional computing towards Non-Von Neumann dynamic energy-efficient problem solving. Thus, dynamic memory devices capable of simultaneously performing nonlinear operations (volatile) similar to neurons and also storing information (non-volatile) alike brain synapses are in the great demand. To satisfy these demands, a neuromorphic platform has to possess intrinsic complexity reflected in the built-in diversity of its physical operation mechanisms. Herein, we propose and demonstrate the novel concept of a memlumor - an all-optical device combining memory and luminophore, and being mathematically a full equivalence of the electrically-driven memristor. By utilizing metal halide perovskites as a memlumor material platform, we demonstrate the synergetic coexistence of both volatile and non-volatile memory effects within…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Photoreceptor and optogenetics research
