Diversity and tailorability of photoelectrochemical properties of carbon dots

Z Chen, Y Liu, Z Kang - Accounts of Chemical Research, 2022 - ACS Publications
Conspectus As a new kind of carbon based functional material, carbon dots (CDs) have
sparked much interest in recent years. The tunable structure, composition, and morphology …

Nanomaterials for flexible neuromorphics

G Ding, H Li, JY Zhao, K Zhou, Y Zhai, Z Lv… - Chemical …, 2024 - ACS Publications
The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …

Photoelectric memristor-based machine vision for artificial intelligence applications

C Yang, B Sun, G Zhou, T Guo, C Ke, Y Chen… - ACS Materials …, 2023 - ACS Publications
With the rapid development of next-generation artificial intelligence technology, research on
advanced machine vision has received extensive attention. It is well-known that significant …

Flexible Zn‐TCPP nanosheet‐based memristor for ultralow‐power biomimetic sensing system and high‐precision gesture recognition

Y Wang, J Su, G Ouyang, S Geng… - Advanced Functional …, 2024 - Wiley Online Library
The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and
cognitive behavior toward external stimuli, providing a promising direction for the future …

Flexible ZnO nanosheet‐based artificial synapses prepared by low‐temperature process for high recognition accuracy neuromorphic computing

YL Wang, M Cao, J Bian, Q Li… - Advanced Functional …, 2022 - Wiley Online Library
In neuromorphic computing networks, a flexible synaptic memristor with high recognition
accuracy is highly desired. In this study, ZnO nanosheets (ZnO NS) embedded within a …

Carbon nanodots memristor: an emerging candidate toward artificial biosynapse and human sensory perception system

C Zhang, M Chen, Y Pan, Y Li, K Wang… - Advanced …, 2023 - Wiley Online Library
In the era of big data and artificial intelligence (AI), advanced data storage and processing
technologies are in urgent demand. The innovative neuromorphic algorithm and hardware …

Artificial synapses enabled neuromorphic computing: From blueprints to reality

J Li, Z Shen, Y Cao, X Tu, C Zhao, Y Liu, Z Wen - Nano Energy, 2022 - Elsevier
Emerging brain-inspired neuromorphic computing systems have become a potential
candidate for overcoming the von Neuman bottleneck that limits the performance of most …

[HTML][HTML] Brain-inspired computing via memory device physics

D Ielmini, Z Wang, Y Liu - APL Materials, 2021 - pubs.aip.org
In our brain, information is exchanged among neurons in the form of spikes where both the
space (which neuron fires) and time (when the neuron fires) contain relevant information …

Artificial synapses based on 2D-layered palladium diselenide heterostructure dynamic memristor for neuromorphic applications

C Mahata, D Ju, T Das, B Jeon, M Ismail, S Kim, S Kim - Nano Energy, 2024 - Elsevier
The transformation of partially amorphous two-dimensional (2D) material layers represents a
promising avenue for enhancing the reliability of heterostructure memristor devices and …

Adaptive processing enabled by sodium alginate based complementary memristor for neuromorphic sensory system

J Shi, Y Lin, Z Wang, X Shan, Y Tao, X Zhao… - Advanced …, 2024 - Wiley Online Library
Adaptive processing allows sensory systems to autonomically adjust their sensitivity with
exposure to a constant sensory stimulus and thus organisms to adapt to environmental …