Evidence of In-Memory Computing in a Ferrofluid

Magnetic fluids are excellent candidates for important research fields including energy harvesting, biomedical applications, soft robotics and exploration. However, notwithstanding relevant advancements such as shape reconfigurability, that have been demonstrated, there is no evidence for their comp...

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Bibliographic Details
Published inarXiv.org
Main Authors Crepaldi, Marco, Mohan, Charanraj, Garofalo, Erik, Adamatzky, Andrew, Szaciłowski, Konrad, Chiolerio, Alessandro
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 15.11.2022
Subjects
Biomedical materials
Computation
Computer memory
Energy harvesting
Ferrofluids
Information storage
Iron oxides
Magnetic fluids
Radio frequency
Robotics
Signal processing
Storage capacity
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Summary:Magnetic fluids are excellent candidates for important research fields including energy harvesting, biomedical applications, soft robotics and exploration. However, notwithstanding relevant advancements such as shape reconfigurability, that have been demonstrated, there is no evidence for their computation capability, including the emulation of synaptic functions. Here, we experimentally demonstrate that a Fe3O4 water-based Ferrofluid (FF) can perform electrical analog computing and be programmed using quasi DC signals and read at Radio Frequency (RF) mode. We have observed features in all respects attributable to a memristive behavior, featuring both short and long-term information storage capacity and plasticity. The colloid was capable of classifying digits of a 8x8 pixel dataset using a custom in-memory signal processing scheme, and through Physical Reservoir Computing (PRC) by training a readout layer.
ISSN:2331-8422