Related references
Note: Only part of the references are listed.A MoS2 Hafnium Oxide Based Ferroelectric Encoder for Temporal-Efficient Spiking Neural Network
Yu-Chieh Chien et al.
ADVANCED MATERIALS (2023)
Multilayer Reservoir Computing Based on Ferroelectric α-In2Se3 for Hierarchical Information Processing
Keqin Liu et al.
ADVANCED MATERIALS (2022)
All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition
Zhenhan Zhang et al.
NATURE NANOTECHNOLOGY (2022)
Wafer-Scale 2D Hafnium Diselenide Based Memristor Crossbar Array for Energy-Efficient Neural Network Hardware
Sifan Li et al.
ADVANCED MATERIALS (2022)
Rotating neurons for all-analog implementation of cyclic reservoir computing
Xiangpeng Liang et al.
NATURE COMMUNICATIONS (2022)
Two-dimensional ferroelectric channel transistors integrating ultra-fast memory and neural computing
Shuiyuan Wang et al.
NATURE COMMUNICATIONS (2021)
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Yanan Zhong et al.
NATURE COMMUNICATIONS (2021)
Scalable reservoir computing on coherent linear photonic processor
Mitsumasa Nakajima et al.
COMMUNICATIONS PHYSICS (2021)
In-sensor reservoir computing for language learning via two-dimensional memristors
Linfeng Sun et al.
SCIENCE ADVANCES (2021)
Next generation reservoir computing
Daniel J. Gauthier et al.
NATURE COMMUNICATIONS (2021)
Contact Properties of Two-Dimensional Ferroelectric α-In2Se3
Bo Liu et al.
ACS APPLIED ELECTRONIC MATERIALS (2021)
Neuromorphic nanoelectronic materials
Vinod K. Sangwan et al.
NATURE NANOTECHNOLOGY (2020)
A review of learning in biologically plausible spiking neural networks
Aboozar Taherkhani et al.
NEURAL NETWORKS (2020)
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
Alex Sherstinsky
PHYSICA D-NONLINEAR PHENOMENA (2020)
Machine learning-resistant pseudo-random number generator
Yiming Wen et al.
ELECTRONICS LETTERS (2019)
Recent advances in physical reservoir computing: A review
Gouhei Tanaka et al.
NEURAL NETWORKS (2019)
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
Yong Yu et al.
NEURAL COMPUTATION (2019)
Long short-term memory networks in memristor crossbar arrays
Can Li et al.
NATURE MACHINE INTELLIGENCE (2019)
Temporal data classification and forecasting using a memristor-based reservoir computing system
John Moon et al.
NATURE ELECTRONICS (2019)
A ferroelectric semiconductor field-effect transistor
Mengwei Si et al.
NATURE ELECTRONICS (2019)
Experimental and Theoretical Studies on α-In2Se3 at High Pressure
Rosario Vilaplana et al.
INORGANIC CHEMISTRY (2018)
Intercorrelated In-Plane and Out-of-Plane Ferroelectricity in Ultrathin Two-Dimensional Layered Semiconductor In2Se3
Chaojie Cui et al.
NANO LETTERS (2018)
Prediction of intrinsic two-dimensional ferroelectrics in In2Se3 and other III2-VI3 van der Waals materials
Wenjun Ding et al.
NATURE COMMUNICATIONS (2017)
Reservoir computing using dynamic memristors for temporal information processing
Chao Du et al.
NATURE COMMUNICATIONS (2017)
Work function and surface stability of tungsten-based thermionic electron emission cathodes
Ryan Jacobs et al.
APL MATERIALS (2017)
The influence of process parameters and pulse ratio of precursors on the characteristics of La1-x Al x O3 films deposited by atomic layer deposition
Chenxi Fei et al.
NANOSCALE RESEARCH LETTERS (2015)
Tunable Charge-Trap Memory Based on Few-Layer MoS2
Enze Zhang et al.
ACS NANO (2015)
Constructing optimized binary masks for reservoir computing with delay systems
Lennert Appeltant et al.
SCIENTIFIC REPORTS (2014)
Retention mechanism study of the ferroelectric field effect transistor
Xiao Pan et al.
APPLIED PHYSICS LETTERS (2011)
Implementing the Quantum von Neumann Architecture with Superconducting Circuits
Matteo Mariantoni et al.
SCIENCE (2011)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Charge trapping memory structures with Al2O3 trapping dielectric for high-temperature applications
M Specht et al.
SOLID-STATE ELECTRONICS (2005)
Polarization dynamics and retention loss in fatigued PbZr0.4Ti0.6O3 ferroelectric capacitors
BS Kang et al.
APPLIED PHYSICS LETTERS (2003)
Share Paper
