Related Experiment Video
Updated: Aug 31, 2025

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
Published on: May 20, 2014
Neuromorphic Liquids, Colloids, and Gels: A Review
Noushin Raeisi Kheirabadi1, Alessandro Chiolerio1,2, Konrad Szaciłowski3
1Unconventional Computing Laboratory, UWE, Bristol, UK.
Researchers are developing liquid electronic devices to mimic biological synapses for flexible circuits. These fluidic neuromorphic systems offer flexibility and fault tolerance, advancing material computing.
Area of Science:
- Materials Science
- Neuroscience
- Robotics
Background:
- Flexible electronics and robotics demand novel components that are deformable and stretch-resistant.
- Traditional electronic components hinder the development of highly flexible and reconfigurable systems.
- Liquid electronic devices offer unique properties like flexibility, reconfiguration, and fault tolerance.
Purpose of the Study:
- To explore the potential of liquid electronic devices as core components for flexible liquid circuits.
- To mimic biological synaptic functions using fluidic systems for advanced computing.
- To review experimental prototypes of neuromorphic systems implemented in liquids, colloids, and gels.
Main Methods:
- Investigating liquid-based systems to emulate synaptic dynamics and complexity.
- Utilizing ionic movements as a platform for implementing neuromorphic functionalities in materials.
- Reviewing laboratory prototypes of fluidic neuromorphic systems.
Main Results:
- Demonstrated the feasibility of implementing neuromorphic systems in liquid, colloidal, and gel-based platforms.
- Highlighted the advantages of liquid electronics, including flexibility, reconfiguration, and fault tolerance.
- Showcased experimental prototypes mimicking biological synapses.
Conclusions:
- Liquid electronic devices mimicking biological synapses are promising for flexible liquid circuits.
- Fluidic neuromorphic systems offer a pathway to advanced material computing.
- Ionic movement-based systems provide a simple yet effective platform for neuromorphic applications.
More Related Videos
11:38Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
Published on: April 19, 2018
11:34Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
Published on: September 8, 2016