On fault-tolerant Boolean functions in proteinoids–ZnO colloids

This study investigates the computational properties of ZnO colloids in combination with proteinoid microspheres within an unconventional computing framework. We propose a method for creating flexible and fault-tolerant logic gates utilising this colloidal system. The colloidal matrix receives binary strings with an electrical impulse representing a logical "True" and its absence representing a "False". Electrical responses are recorded, and Boolean functions are extracted. This nano-bio hybrid of ZnO colloids and proteinoids has the potential to power next-generation unconventional computing systems that can adapt to changing environments, paving the way for novel nano-bio hybrid computing architectures.

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Publication Details

Journal
Journal of Materials Science Materials in Electronics
Published
2025-02-01
DOI
https://doi.org/10.1007/s10854-025-14302-3
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

On fault-tolerant Boolean functions in proteinoids–ZnO colloids

Nic Roberts, Raphael Fortulan, Andrew Adamatzky, Noushin Raeisi Kheirabadi et al.
1 citations
Journal of Materials Science Materials in Electronics
Advanced Memory and Neural Computing
0.73
article

On fault-tolerant Boolean functions in proteinoids–ZnO colloids

Nic Roberts, Raphael Fortulan, Andrew Adamatzky, Noushin Raeisi Kheirabadi, Alessandro Chiolerio, Panagiotis Mougkogiannis
article en
1 citations

Abstract

This study investigates the computational properties of ZnO colloids in combination with proteinoid microspheres within an unconventional computing framework. We propose a method for creating flexible and fault-tolerant logic gates utilising this colloidal system. The colloidal matrix receives binary strings with an electrical impulse representing a logical "True" and its absence representing a "False". Electrical responses are recorded, and Boolean functions are extracted. This nano-bio hybrid of ZnO colloids and proteinoids has the potential to power next-generation unconventional computing systems that can adapt to changing environments, paving the way for novel nano-bio hybrid computing architectures.

Journal of Materials Science Materials in ElectronicsVol. 36(4)
University of Huddersfield (GB), University of the West of England (GB), Italian Institute of Technology (IT)
Engineering and Physical Sciences Research Council, HORIZON EUROPE European Innovation Council
Openalex Percentile: Top 32%
Advanced Memory and Neural Computing
0.73
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On fault-tolerant Boolean functions in proteinoids–ZnO colloids — Nic Roberts, Raphael Fortulan, et al. · Journal of Materials Science Materials in Electronics (2025) | TGRS Research Map | TGRS