Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Hexagonal boron nitride for next‐generation photonics and electronics

S Moon, J Kim, J Park, S Im, J Kim, I Hwang… - Advanced …, 2023 - Wiley Online Library
Hexagonal boron nitride (h‐BN), an insulating 2D layered material, has recently attracted
tremendous interest motivated by the extraordinary properties it shows across the fields of …

Atomically engineered, high-speed non-volatile flash memory device exhibiting multibit data storage operations

G Dastgeer, S Nisar, A Rasheed, K Akbar, VD Chavan… - Nano Energy, 2024 - Elsevier
Non-volatile memory devices, which offer large capacity and mechanical dependability as a
mainstream technology, have played a key role in fostering innovation in modern …

Memristor‐Based Intelligent Human‐Like Neural Computing

S Wang, L Song, W Chen, G Wang… - Advanced Electronic …, 2023 - Wiley Online Library
Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …

Effect of the threshold kinetics on the filament relaxation behavior of Ag‐based diffusive memristors

SA Chekol, S Menzel, RW Ahmad… - Advanced functional …, 2022 - Wiley Online Library
Owing to their unique features such as thresholding and self‐relaxation behavior diffusive
memristors built from volatile electrochemical metallization (v‐ECM) devices are drawing …

Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era

J Li, H Abbas, DS Ang, A Ali, X Ju - Nanoscale horizons, 2023 - pubs.rsc.org
Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …

Conductive bridge random access memory (CBRAM): challenges and opportunities for memory and neuromorphic computing applications

H Abbas, J Li, DS Ang - Micromachines, 2022 - mdpi.com
Due to a rapid increase in the amount of data, there is a huge demand for the development
of new memory technologies as well as emerging computing systems for high-density …

Functional Materials for Memristor‐Based Reservoir Computing: Dynamics and Applications

G Zhang, J Qin, Y Zhang, G Gong… - Advanced Functional …, 2023 - Wiley Online Library
The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …

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 …

Gate-assisted MoSe2 transistor to detect the streptavidin via supporter molecule engineering

S Nisar, G Dastgeer, M Shahzadi, ZM Shahzad… - Materials Today …, 2023 - Elsevier
Atomically thin two-dimensional (2D) transition metal dichalcogenide (TMDC)
semiconductor materials have garnered significant attention due to their remarkable …