4.7 Article

Fully transparent, flexible and waterproof synapses with pattern recognition in organic environments

Journal

NANOSCALE HORIZONS
Volume 4, Issue 6, Pages 1293-1301

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c9nh00341j

Keywords

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Funding

  1. NSFC [61704030, 61522404]
  2. Shanghai Rising-Star Program [19QA1400600]
  3. Program of Shanghai Subject Chief Scientist [18XD1402800]
  4. Support Plans for the Youth Top-Notch Talents of China

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Artificial intelligence applications require bio-inspired neuromorphic systems that consist of electronic synapses (e-synapses) able to perform learning and memory functions. However, all transparent and flexible organic e-synapses have the disadvantage of being easily dissolvable in water or organic solutions. In the present work, a stable waterproof artificial synapse based on a fully transparent electronic device, suitable for wearable applications in organic environments is for the first time demonstrated. Essential synaptic behaviors, including paired-pulse facilitation (PPF), long-term potentiation/depression (LTP/LTD), and learning-forgetting-relearning, were successfully emulated. The artificial synaptic device could achieve an optical transmittance of similar to 87.5% in the visible light range, which demonstrated reliable long-term potentiation/depression under bent states with a bending radius of 5 mm. After being immersed in water and 5 types of common organic solvents for over 12 hours, the e-synapse could function with 6000 spikes without noticeable degradation in the organic environment. The neural network was constructed from e-synapses with controllable weights update and a device-to-system level simulation framework was developed with a recognition rate of 92.4%, which demonstrated the feasibility of highly transparent, biocompatible, flexible, and waterproof e-synapses used in artificial intelligence systems.

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