Anti-Freezing Fiber-Shaped Iontronic Synapses With Ultralow Energy Consumption and High Rectification.

Area of Science:

• Materials Science
• Neuroscience
• Computer Engineering

Background:

• Fiber-shaped iontronic synapses (FEISs) are key for wearable neuromorphic computing.
• Current FEISs face challenges with environmental adaptability, energy efficiency, and rectification.

Purpose of the Study:

• To develop a FEIS with anti-freezing properties.
• To achieve ultralow energy consumption and a high rectification ratio for practical applications.

Main Methods:

• Constructed FEISs using tetrachlorobenzoquinone and zinc hexacyanoferrate on carbon nanotube fibers.
• Employed a sucrose-modified polyacrylamide hydrogel electrolyte for anti-freezing properties.
• Investigated synaptic operation, energy consumption, and rectification ratio at low temperatures.

Main Results:

• Demonstrated stable synaptic operation at -20°C.
• Achieved ultralow energy consumption (17 fJ/event) and a high rectification ratio (17.9).
• Enabled robust unidirectional information transmission and reliable operation in logic circuits and robotic systems.

Conclusions:

• The developed FEIS exhibits excellent anti-freezing capability and performance in extreme environments.
• This innovation expands the potential of flexible iontronic neuromorphic devices for diverse applications.
• The device shows promise for wearable computing in cryogenic conditions.