Logical circuits in colloids
Nic Roberts, Noushin Raeisi Kheirabadi, Michail-Antisthenis Tsompanas,, Alessandro Chiolerio, Marco Crepaldi, Andrew Adamatzky

TL;DR
This paper demonstrates a novel colloidal computing device using ZnO nanoparticle suspensions that can implement various Boolean functions, highlighting potential for unconventional computing technologies.
Contribution
The study introduces a new laboratory prototype of a colloidal computer capable of performing multiple Boolean functions with different input configurations.
Findings
Successfully implemented Boolean functions with 2, 4, and 8 inputs
Recorded electrical responses to extract truth tables
Showcased potential for colloid-based computing systems
Abstract
Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in DMSO exhibits reconfiguration when exposed to electrical stimulation and produces spikes of electrical potential in response. This study presents a novel laboratory prototype of a ZnO colloidal computer, showcasing its capability to implement various Boolean functions featuring two, four, and eight inputs. During our experiments, we input binary strings into the colloid mixture, where a logical ``True" state is represented by an impulse of an electrical potential. In contrast, the absence of the electrical impulse denotes a logical ``False" state. The electrical responses of the colloid mixture are recorded, allowing us to extract truth tables from the…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Molecular Communication and Nanonetworks
