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End-to-End Neuromorphic Cryptosystems Using n-type Organic Optoelectrochemical Synapses
Riping Liu1, Jiayao Duan1, Yifei He1
1Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, State Key Laboratory of Optoelectronic Materials and Technologies, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, China.
Abstract:
Cryptographic bionics, which seeks to emulate biological principles for secure information processing, remains largely unexplored at the hardware level. Here, we report an optically encrypted neuromorphic cryptosystem that utilizes an n-type organic optoelectrochemical synapse (n-OOECS), enabling brain-inspired encryption logic and adaptive information protection for end-to-end secure communication. This all-solid-state synaptic device, based on a single-component fused oligomeric organic mixed ionic-electronic conductor, exhibits multimodal reconfigurable plasticity, featuring record-high 10-bit conductance states, reprogrammable temporal pulse-waveforms, and tunable volatile-to-nonvolatile switching. Optoelectrochemical co-modulation enables bidirectional compensation and robust dark-to-light switching. Wafer-scale integration on 7-inch substrates demonstrates excellent device uniformity. By leveraging the principles of programmable-pulse engineering and nonlinear optoelectronic dynamics, the system simultaneously performs Morse pulse identification, optically encrypted transmission, and neural machine translation via convolutional neural networks. Notably, it visually demonstrates the entire process, from the input of pulse-encoded waveforms representing "SUN YAT SEN UNIVERSITY" to the final accurate Chinese translation output. This work establishes an OOECS platform that integrates neuromorphic computing with cryptographic functionality, offering a scalable materials framework for secure, adaptive, and bioinspired hardware encryption.
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