All-optical Halide Perovskite Artificial Neurons with Intrinsic Plasticity
Brodrick Sevart a, Nikhila Balasubramaniam b, Jeffrey Blackburn b, Andrew Ferguson b, Matthew Crane a, Lance Wheeler b
a Colorado School of Mines, Illinois Street, 1500, Golden, United States
b National Renewable Energy Laboratory
Poster, Brodrick Sevart, 083
Publication date: 15th May 2025

As the development of technology continues there is an ever-increasing demand for computing power. With the decreasing ability to improve in conventional Von-Neumann based devices alternative avenues of computing need to be explored. Recently, investigations into halide-perovskite materials have expanded from photovoltaics to dynamic applications that leverage their ability to switch optical states. Taking advantage of the non-discrete nature of their material phases, multiple memory states are accessible in one device, potentially allowing for an increase in computing density without needing to shrink the size of the device. Here, a novel perovskite thermo-optical memory device is shown to mimic neuronal functions using optical biasing as a promising means for low energy, high performance computing.

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