Electrochemical ion insertion from the atomic to the device scale
Electrochemical ion insertion involves coupled ion–electron transfer reactions, transport of
guest species and redox of the host. The hosts are typically anisotropic solids with 2D …
guest species and redox of the host. The hosts are typically anisotropic solids with 2D …
Materials strategies for organic neuromorphic devices
Neuromorphic computing is becoming increasingly prominent as artificial intelligence (AI)
facilitates progressively seamless interaction between humans and machines. The …
facilitates progressively seamless interaction between humans and machines. The …
[HTML][HTML] Analog architectures for neural network acceleration based on non-volatile memory
Analog hardware accelerators, which perform computation within a dense memory array,
have the potential to overcome the major bottlenecks faced by digital hardware for data …
have the potential to overcome the major bottlenecks faced by digital hardware for data …
CMOS-compatible electrochemical synaptic transistor arrays for deep learning accelerators
In-memory computing architectures based on memristive crossbar arrays could offer higher
computing efficiency than traditional hardware in deep learning applications. However, the …
computing efficiency than traditional hardware in deep learning applications. However, the …
Oxide‐based electrolyte‐gated transistors for spatiotemporal information processing
Spiking neural networks (SNNs) sharing large similarity with biological nervous systems are
promising to process spatiotemporal information and can provide highly time‐and energy …
promising to process spatiotemporal information and can provide highly time‐and energy …
[HTML][HTML] Intrinsically stretchable neuromorphic devices for on-body processing of health data with artificial intelligence
For leveraging wearable technologies to advance precision medicine, personalized and
learning-based analysis of continuously acquired health data is indispensable, for which …
learning-based analysis of continuously acquired health data is indispensable, for which …
Filament‐free bulk resistive memory enables deterministic analogue switching
Digital computing is nearing its physical limits as computing needs and energy consumption
rapidly increase. Analogue‐memory‐based neuromorphic computing can be orders of …
rapidly increase. Analogue‐memory‐based neuromorphic computing can be orders of …
One transistor one electrolyte‐gated transistor based spiking neural network for power‐efficient neuromorphic computing system
Neuromorphic computing powered by spiking neural networks (SNN) provides a powerful
and efficient information processing paradigm. To harvest the advantage of SNNs, compact …
and efficient information processing paradigm. To harvest the advantage of SNNs, compact …
Multilevel memory and artificial synaptic plasticity in P (VDF-TrFE)-based ferroelectric field effect transistors
Y Sun, N He, Y Wang, Q Yuan, D Wen - Nano Energy, 2022 - Elsevier
Multilevel data memory and artificial synaptic plasticity in poly (vinylidene fluoride-co-
trifluoroethylene)[P (VDF-TrFE)] ferroelectric field effect transistors were demonstrated. The …
trifluoroethylene)[P (VDF-TrFE)] ferroelectric field effect transistors were demonstrated. The …
Thin-film transistors for emerging neuromorphic electronics: Fundamentals, materials, and pattern recognition
C Wang, Y Li, Y Wang, X Xu, M Fu, Y Liu… - Journal of Materials …, 2021 - pubs.rsc.org
The main goal of the field of neuromorphic electronics is to develop novel microelectronic
components that emulate the memory and computing functionalities of the biological …
components that emulate the memory and computing functionalities of the biological …