Soft and flexible:core-shell ionic liquid resistive memory for electronic synapses

The human brain is the most efficient computational and intelligent system,and researchers are trying to mimic the human brain using solid-state materials.However,the use of solid-state materials has a limitation due to the movement of neurotransmitters.Hence,soft memory devices are receiving tremendous attention for smooth neurotransmission due to the ion concentration polarization mechanism.This paper proposes a core-shell soft ionic liquid(IL)-resistive memory device for electronic synapses using Cu/Ag@AgCI/Cu with multistate resistive behavior.The presence of the Ag@AgCI core shell in the liquid electrolyte significantly helps to control the movement of Cu^(2+)ions,which results in multistate resistive switching behavior.The core-shell IL soft memory device can open a gateway for electronic synapses.

Ionic liquid multistate resistive switching characteristics in two terminal soft and flexible discrete channels for neuromorphic computing

By exploiting ion transport phenomena in a soft and flexible discrete channel,liquid material conductance can be controlled by using an electrical input signal,which results in analog neuromorphic behavior.This paper proposes an ionic liquid(IL)multistate resistive switching device capable of mimicking synapse analog behavior by using IL BMIM FeCL_(4) and H_(2)O into the two ends of a discrete polydimethylsiloxane(PDMs)channel.The spike rate-dependent plasticity(SRDP)and spike-timing-dependent plasticity(STDP)behavior are highly stable by modulating the input signal.Furthermore,the discrete channel device presents highly durable performance under mechanical bending and stretching.Using the obtained parameters from the proposed ionic liquid-based synaptic device,convolutional neural network simulation runs to an image recognition task,reaching an accuracy of 84%.The bending test of a device opens a new gateway for the future of soft and flexible brain-inspired neuromorphic computing systems for various shaped artificial intelligence applications.