Nanoscale memristor devices: materials, fabrication, and artificial intelligence

Y Yu, M ** of perovskites with mixed cations and mixed halides is an effective strategy to
optimize phase stability. In this study, we introduce a cubic black phase perovskite Cs y FA …

[HTML][HTML] Neuromorphic computing for smart agriculture

S Lu, X **ao - Agriculture, 2024‏ - mdpi.com
Neuromorphic computing has received more and more attention recently since it can
process information and interact with the world like the human brain. Agriculture is a …

Coexistance of the negative photoconductance effect and analogue switching memory in the CuPc organic memristor for neuromorphic vision computing

C Liao, D Liu, Z Liu, J Wang, X **e, J Li… - The Journal of Physical …, 2024‏ - ACS Publications
A bioinspired in-sensing computing paradigm using emerging photoelectronic memristors
pursues multifunctionality with low power consumption and high efficiency for processing …

Recent progress in wearable near-sensor and in-sensor intelligent perception systems

J Liu, Y Wang, Y Liu, Y Wu, B Bian, J Shang, R Li - Sensors, 2024‏ - mdpi.com
As the Internet of Things (IoT) becomes more widespread, wearable smart systems will
begin to be used in a variety of applications in people's daily lives, not only requiring the …

In situ training of an in-sensor artificial neural network based on ferroelectric photosensors

H Lin, J Ou, Z Fan, X Yan, W Hu, B Cui, J Xu… - Nature …, 2025‏ - nature.com
In-sensor computing has emerged as an ultrafast and low-power technique for next-
generation machine vision. However, in situ training of in-sensor computing systems …