Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: July 18, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: July 18, 2024
Language: Английский
Royal Society Open Science, Journal Year: 2024, Volume and Issue: 11(5)
Published: May 1, 2024
Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in dimethylsulfoxide (DMSO) exhibits reconfiguration when exposed electrical stimulation produces spikes potential response. This study presents novel laboratory prototype computer, showcasing its capability implement various Boolean functions featuring two, four eight inputs. During our experiments, we input binary strings into the colloid mixture, where logical 'True' state represented by an impulse potential. In contrast, absence denotes 'False' state. The responses mixture are recorded, allowing us extract truth tables from recordings. Through this methodological approach, demonstrate successful implementation wide range using mixtures. We provide detailed distributions discovered speculation on impacts findings future emerging unconventional technologies. research highlights exciting possibilities colloid-based paves way for further advancements.
Language: Английский
Citations
12BioNanoScience, Journal Year: 2024, Volume and Issue: 14(3), P. 3099 - 3107
Published: Jan. 6, 2024
Abstract Liquid computers are devices that utilise the properties of liquid volumes or reactants to represent data and outputs. A recent development in this field is emergence colloid computers, which employ electromagnetic interactions among functional particles for computation. To assess potential implementing neuromorphic dynamical architectures, we have focused on realising Pavlovian reflexes within mixtures. The reflex, a fundamental function neurological systems living organisms, enables learning capabilities. Our approach involves by associating an increase synaptic weight with decrease resistance mixture. Through experimental laboratory conditions, successfully demonstrated feasibility systems.
Language: Английский
Citations
7Published: June 26, 2024
Language: Английский
Citations
2Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Sept. 17, 2024
Language: Английский
Citations
1Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: July 18, 2024
Language: Английский
Citations
0