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Organic mixed conductors for bioinspired electronics
Owing to its close resemblance to biological systems and materials, soft matter has been
successfully implemented in numerous bioelectronic and biosensing applications, as well as …
successfully implemented in numerous bioelectronic and biosensing applications, as well as …
Advances of embedded resistive random access memory in industrial manufacturing and its potential applications
Embedded memory, which heavily relies on the manufacturing process, has been widely
adopted in various industrial applications. As the field of embedded memory continues to …
adopted in various industrial applications. As the field of embedded memory continues to …
An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing
The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …
However, artificial neurons are not typically capable of operating in biological environments …
A retrainable neuromorphic biosensor for on-chip learning and classification
Neuromorphic computing could be used to directly perform complex classification tasks in
hardware and is of potential value in the development of wearable, implantable and point-of …
hardware and is of potential value in the development of wearable, implantable and point-of …
Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics
Organic artificial neurons operating in liquid environments are crucial components in
neuromorphic bioelectronics. However, the current understanding of these neurons is …
neuromorphic bioelectronics. However, the current understanding of these neurons is …
Chemical inductor
A multitude of chemical, biological, and material systems present an inductive behavior that
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …
Organic electronic synapses with low energy consumption
The von Neumann computing architecture consists of separated processing and memory
elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial …
elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial …
Thermodynamics of organic electrochemical transistors
Despite their increasing usefulness in a wide variety of applications, organic electrochemical
transistors still lack a comprehensive and unifying physical framework able to describe the …
transistors still lack a comprehensive and unifying physical framework able to describe the …
Organic neuromorphic devices: Past, present, and future challenges
The main goal of the field of neuromorphic computing is to build machines that emulate
aspects of the brain in its ability to perform complex tasks in parallel and with great energy …
aspects of the brain in its ability to perform complex tasks in parallel and with great energy …
Influence of molecular weight of polymer electret on the synaptic organic field‐effect transistor performance
Chargeable polymer electret‐based organic field‐effect transistor (OFET) memory devices
are attractive for intrinsically flexible artificial synapse. However, the effects of molecular …
are attractive for intrinsically flexible artificial synapse. However, the effects of molecular …