End-to-End Neuromorphic Cryptosystems Using n-type Organic Optoelectrochemical Synapses

Area of Science:

• Materials Science
• Neuroscience
• Cybersecurity

Background:

• Cryptographic bionics, mimicking biological systems for security, lacks hardware implementation.
• Neuromorphic computing offers brain-inspired processing but needs enhanced security features.

Purpose of the Study:

• To develop an optically encrypted neuromorphic cryptosystem using organic optoelectrochemical synapses (n-OOECS).
• To demonstrate adaptive information protection and secure end-to-end communication.

Main Methods:

• Utilized a single-component fused oligomeric organic mixed ionic-electronic conductor for n-OOECS.
• Engineered multimodal reconfigurable plasticity, including 10-bit conductance states and reprogrammable pulse-waveforms.
• Implemented optoelectrochemical co-modulation for bidirectional compensation and tunable switching.

Main Results:

• Achieved record-high 10-bit conductance states and tunable switching in the n-OOECS device.
• Demonstrated wafer-scale integration with excellent device uniformity on 7-inch substrates.
• Successfully performed optical encryption, Morse code identification, and neural machine translation simultaneously.

Conclusions:

• Established an n-OOECS platform integrating neuromorphic computing with cryptographic functionality.
• Provided a scalable materials framework for secure, adaptive, bioinspired hardware encryption.
• Paved the way for advanced secure communication systems leveraging biological principles.