Memristor-based artificial chips
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …
that is assembled with a physically integrated core processing unit (CPU) and memory unit …
Three-dimensional integration of two-dimensional field-effect transistors
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 …
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
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 …
scale integration (VLSI) of monolithic 3-D integrated circuit (IC) in complementary metal …
Physical reservoir computing based on nanoscale materials and devices
Bioinspired computation systems can achieve artificial intelligence, bypassing fundamental
bottlenecks and cost constraints. Computational frameworks suited for temporal/sequential …
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 …
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 …
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 …
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
In‐memory computing, particularly neuromorphic computing, has emerged as a promising
solution to overcome the energy and time‐consuming challenges associated with the von …
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 …
significantly toward full‐scene display and realistic display. Incorporating “intelligence” into …