Neuro-inspired electronic skin for robots
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …
Fundamentals and scientific challenges in structural design of cathode materials for zinc‐ion hybrid supercapacitors
One of the most exciting new developments in energy storage technology is Zn‐ion hybrid
supercapacitors (ZHSCs). ZHSCs combine Zn‐ion batteries with supercapacitors (SCs) to …
supercapacitors (ZHSCs). ZHSCs combine Zn‐ion batteries with supercapacitors (SCs) to …
Imperfection-enabled memristive switching in van der Waals materials
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …
and integration capabilities. As a result, they are of potential use in the development of …
Printed transistors made of 2D material-based inks
Large-area electronics for the Internet of Things requires a new generation of light-weight,
flexible, low-power electronics, based on advanced materials able to provide high …
flexible, low-power electronics, based on advanced materials able to provide high …
Artificial skin perception
Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …
2D material based synaptic devices for neuromorphic computing
G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
Emerging memristive artificial synapses and neurons for energy‐efficient neuromorphic computing
Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …
building blocks of neuromorphic computing and electronic systems. The dynamic …
Synaptic devices based neuromorphic computing applications in artificial intelligence
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …
nanoelectronic devices, which are expected to subvert traditional data storage and …
Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications
Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
Anomalous resistive switching in memristors based on two-dimensional palladium diselenide using heterophase grain boundaries
The implementation of memristive synapses in neuromorphic computing is hindered by the
limited reproducibility and high energy consumption of the switching behaviour of the …
limited reproducibility and high energy consumption of the switching behaviour of the …