Achieving human brain-level low power consumption in organic synaptic transistors by employing water-processable polymeric all-solid-state memory layers
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Neuromorphic devices emulate the neural networks of the human brain, achieving high energy efficiency through the integration of neuroscience and semiconductor technology. These devices support parallel processing and learning, fostering the development of natural and efficient artificial intelligence (AI) systems, which have great potential for real-time applications. Recently, organic synaptic transistors (OSTRs), which are based on organic field-effect transistors, have been considered a promising platform for neuromorphic devices. In principle, memory characteristics are mandatory for OSTRs to make post-synaptic current signals that mimic biological synapses. In this presentation, we demonstrate our attempts to make OSTRs that mimic biological synapses. In particular, we unveil how to achieve OSTRs that can be operated with low power consumptions, comparable to a human brain, by employing a molecular bridge concept in water-processable polymer-based all-solid-state electrolytes.