Results 41 to 50 of about 1,280 (239)

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

FEOL Monolithic Co-Integration of FeFET and CMOS on 8-Inch Wafer Using Laser Spike Annealing With Implementation of an FeFET Inverter

IEEE Access
Ferroelectric devices and monolithic three-dimensional integration technology (M3D) with good CMOS process compatibility have emerged as promising solutions to scaling issue at the device and system levels, respectively.
Bohyeon Kang, Jehyun An, Jongseo Park, Giryun Hong, Beomjoo Ham, Jaeseong Pyo, Sung-Min Ahn, Rock-Hyun Baek   +7 more
doaj   +1 more source

28 nm high-k-metal gate ferroelectric field effect transistors based synapses — A comprehensive overview

Memories - Materials, Devices, Circuits and Systems, 2023
In this invited article we present a comprehensive overview of 28 nm high-k-metal gate-based ferroelectric field effect transistor devices for synaptic applications. The devices under test were fabricated on 300 mm wafers at GlobalFoundries.
Yannick Raffel, Franz Müller, Sunanda Thunder, Masud Rana Sk, Maximilian Lederer, Luca Pirro, Sven Beyer, Konrad Seidel, Bhaswar Chakrabarti, Thomas Kämpfe, Sourav De   +10 more
doaj   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Enhanced Ferroelectric Phase Formation via Local Structure Modification in the Pre‐Crystalline State of Hafnium Zirconium Oxide Thin Films

Advanced Functional Materials, EarlyView.
Hafnium zirconium oxide thin films are grown using plasma‐enhanced atomic layer deposition with the addition of an atomic layer annealing (ALA) step. ALA leads to a change in the short‐range structure of the deposit and encourages formation of the ferroelectric Pca21 phase. The result is wake‐up‐free performance with films exposed to ALA.
Nicolas K. Lam, Gerald R. Bejger, Waseem A. Wani, Kristina M. Holsgrove, Andrew N. Titus, Niyorjyoti Sharma, Shihao Wang, Keithen Orson, Megan K. Lenox, Liron Shvilberg, Yong Kyu Choi, Ian A. Brummel, Benjamin L. Aronson, Petra Reinke, Quentin Ramasse, Amit Kumar, Brian J. Rodriguez, Christina M. Rost, Jon F. Ihlefeld   +18 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search

, 2022
25652576Nearest neighbor (NN) search computations are at the core of many applications such as few-shot learning, classification, and hyperdimensional computing. As such, efficient hardware support for NN search is highly desired.
Müller, F., Yin, X., Laguna, A.F.B., Niemier, M., Sharifi, M.M., Kämpfe, T., Hu, X.S., Kazemi, A.   +7 more
core   +1 more source

Low-Voltage Operating Ferroelectric FET with Ultrathin IGZO Channel for High-Density Memory Application

IEEE Journal of the Electron Devices Society, 2020
We have fabricated and demonstrated ultrathin In-Ga-Zn-O (IGZO) channel ferroelectric HfO2 field effect transistor (FET) with memory operation. Ultrathin-body IGZO ferroelectric FET (FeFET) shows high mobility and nearly ideal subthreshold slop with ...
Fei Mo, Yusaku Tagawa, Chengji Jin, MinJu Ahn, Takuya Saraya, Toshiro Hiramoto, Masaharu Kobayashi   +6 more
doaj   +1 more source

Effects of Charge Trapping on Memory Characteristics for HfO₂-Based Ferroelectric Field Effect Transistors

Nanomaterials, 2023
A full understanding of the impact of charge trapping on the memory window (MW) of HfO2-based ferroelectric field effect transistors (FeFETs) will permit the design of program and erase protocols, which will guide the application of these devices and ...
Jianjian Wang, Jinshun Bi, Yannan Xu, Gang Niu, Mengxin Liu, Viktor Stempitsky   +5 more
doaj   +1 more source

Direct Growth of 2D Bilayers on Au(111) for Low‐Coercive Sliding Ferroelectricity

Advanced Materials, EarlyView.
Controlled CVD growth of stacking‐defined bilayer ReS2 on Au(111) enables parallel‐stacked bilayers with intrinsic sliding ferroelectricity, a strong piezoelectric response, and an ultralow coercive voltage. Atomic‐resolution imaging and in situ measurements further reveal the decisive role of clean interfaces in achieving low‐barrier ferroelectric ...
Honglin Chen, Ke Yang, Yuhuan Li, Lingli Huang, Tianren Chen, Ming Yang, Jiong Zhao, Thuc Hue Ly   +7 more
wiley   +1 more source