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 …

Memristor-based artificial chips

B Sun, Y Chen, G Zhou, Z Cao, C Yang, J Du, X Chen… - ACS …, 2023 - ACS Publications
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

Three-dimensional integration of two-dimensional field-effect transistors

D Jayachandran, R Pendurthi, MUK Sadaf, NU Sakib… - Nature, 2024 - nature.com
In the field of semiconductors, three-dimensional (3D) integration not only enables
packaging of more devices per unit area, referred to as 'More Moore'but also introduces …

CMOS backend-of-line compatible memory array and logic circuitries enabled by high performance atomic layer deposited ZnO thin-film transistor

W Wang, K Li, J Lan, M Shen, Z Wang, X Feng… - Nature …, 2023 - nature.com
The development of high-performance oxide-based transistors is critical to enable very large-
scale integration (VLSI) of monolithic 3-D integrated circuit (IC) in complementary metal …

Physical reservoir computing based on nanoscale materials and devices

Z Qi, L Mi, H Qian, W Zheng, Y Guo… - Advanced Functional …, 2023 - Wiley Online Library
Bioinspired computation systems can achieve artificial intelligence, bypassing fundamental
bottlenecks and cost constraints. Computational frameworks suited for temporal/sequential …

PZT-Enabled MoS2 Floating Gate Transistors: Overcoming Boltzmann Tyranny and Achieving Ultralow Energy Consumption for High-Accuracy Neuromorphic …

J Chen, YQ Zhu, XC Zhao, ZH Wang, K Zhang… - Nano Letters, 2023 - ACS Publications
Low-power electronic devices play a pivotal role in the burgeoning artificial intelligence era.
The study of such devices encompasses low-subthreshold swing (SS) transistors and …

CMOS-compatible neuromorphic devices for neuromorphic perception and computing: a review

Y Zhu, H Mao, Y Zhu, X Wang, C Fu, S Ke… - … Journal of Extreme …, 2023 - iopscience.iop.org
Neuromorphic computing is a brain-inspired computing paradigm that aims to construct
efficient, low-power, and adaptive computing systems by emulating the information …

Neurotransmitter‐Mediated Plasticity in 2D Perovskite Memristor for Reinforcement Learning

Y Wang, S Chen, X Cheng, W Chen… - Advanced Functional …, 2024 - Wiley Online Library
The neuromorphic computing architecture is a promising artificial intelligence for
implementing hierarchical processing, in‐memory computing, event‐driven operation and …

Enhancing Memory Window Efficiency of Ferroelectric Transistor for Neuromorphic Computing via Two‐Dimensional Materials Integration

H Xiang, YC Chien, L Li, H Zheng, S Li… - Advanced Functional …, 2023 - Wiley Online Library
In‐memory computing, particularly neuromorphic computing, has emerged as a promising
solution to overcome the energy and time‐consuming challenges associated with the von …

Toward Intelligent Display with Neuromorphic Technology

X Zhang, D Liu, S Liu, Y Cai, L Shan, C Chen… - Advanced …, 2024 - Wiley Online Library
In the era of the Internet and the Internet of Things, display technology has evolved
significantly toward full‐scene display and realistic display. Incorporating “intelligence” into …