Publications by authors named "Duoyi Zhu"
Crossbar resistive memory architectures enable high-capacity storage and neuromorphic computing, accurate retrieval of the stored information is a prerequisite during read operation. However, conventional electrical readout normally suffer from complicated process, inaccurate and destructive reading due to crosstalk effect from sneak path current. Here we report a memristive-photoconductive transduction (MPT) methodology for precise and nondestructive readout in a memristive crossbar array.
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- Optoelectronic synapses are crucial for creating advanced neuromorphic visual systems, but integrating multiple features into one device is challenging.
- A new stretchable optoelectronic synapse using biodegradable ionic gelatin has been developed, demonstrating self-powered synaptic behavior and excellent elasticity while degrading quickly upon disposal.
- The device can self-repair within one minute due to non-covalent interactions, maintaining its optoelectronic properties after recovery, and showcases the potential for low-cost, sustainable synapse technology in artificial intelligence and vision systems.
Ionic memristors can emulate brain-like functions of biological synapses for neuromorphic technologies. Apart from the widely studied excitatory-excitatory and excitatory-inhibitory synapses, reports on memristors with the inhibitory-inhibitory synaptic behaviors remain a challenge. Here, the first biaxially inhibited artificial synapse is demonstrated, consisting of a solid electrolyte and conjugated microporous polymers bilayer as neurotransmitter, with the former serving as an ion reservoir and the latter acting as a confined transport.
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