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  1. Free, publicly-accessible full text available July 22, 2024
  2. Free, publicly-accessible full text available May 1, 2024
  3. Abstract

    Artificial synaptic devices are the essential hardware component in emerging neuromorphic computing systems by mimicking biological synapse and brain functions. When made from natural organic materials such as protein and carbohydrate, they have potential to improve sustainability and reduce electronic waste by enabling environmentally‐friendly disposal. In this paper, a new natural organic memristor based artificial synaptic device is reported with the memristive film processed by a honey and carbon nanotube (CNT) admixture, that is, honey‐CNT memristor. Optical microscopy, scanning electron microscopy, and micro‐Raman spectroscopy are employed to analyze the morphology and chemical structure of the honey‐CNT film. The device demonstrates analog memristive potentiation and depression, with the mechanism governing these functions explained by the formation and dissolution of conductive paths due to the electrochemical metal filaments which are assisted by CNT clusters and bundles in the honey‐CNT film. The honey‐CNT memristor successfully emulates synaptic functionalities such as short‐term plasticity and its transition to long‐term plasticity for memory rehearsal, spatial summation, and shunting inhibition, and for the first time, the classical conditioning behavior for associative learning by mimicking the Pavlov's dog experiment. All these results testify that honey‐CNT memristor based artificial synaptic device is promising for energy‐efficient and eco‐friendly neuromorphic systems.

     
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  4. null (Ed.)
    The Online Electron Microscopy Platform makes electron microscopy education accessible by combining simulation-based practice with a range of educational content. Students learn how to operate electron microscopes by using virtual microscopes that precisely simulate the functions of real microscopes. Built as a web application, the platform can be used by an unlimited number of people and at any time. This platform reduces the time needed for training users to operate a real microscope. By preparing students in STEM disciplines to use electron microscopes, the system helps them acquire the skills they need to succeed in the modern workforce. 
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