[HTML][HTML] Memristive true random number generator for security applications
This study explores memristor-based true random number generators (TRNGs) through their
evolution and optimization, stemming from the concept of memristors first introduced by …
evolution and optimization, stemming from the concept of memristors first introduced by …
Quantum conductance in vertical hexagonal boron nitride memristors with graphene-edge contacts
Two-dimensional materials (2DMs) have gained significant interest for resistive-switching
memory toward neuromorphic and in-memory computing (IMC). To achieve atomic-level …
memory toward neuromorphic and in-memory computing (IMC). To achieve atomic-level …
Spin‐Coating Deposited SnS2 Thin Film‐Based Memristor for Emulating Synapses
J Feng, J Fan, Z Zhang, Y Gao, S Xue… - Advanced Functional …, 2024 - Wiley Online Library
Abstract 2D materials have garnered significant attention owing to their substantial potential
across various applications, including thin‐film electronics, optoelectronics, and sensor …
across various applications, including thin‐film electronics, optoelectronics, and sensor …
Direct Measurement of the Thermal Expansion Coefficient of Epitaxial WSe2 by Four-Dimensional Scanning Transmission Electron Microscopy
Current reports of thermal expansion coefficients (TEC) of two-dimensional (2D) materials
show large discrepancies that span orders of magnitude. Determining the TEC of any 2D …
show large discrepancies that span orders of magnitude. Determining the TEC of any 2D …
Low Power Volatile and Nonvolatile Memristive Devices from 1D MoO2‐MoS2 Core–Shell Heterostructures for Future Bio‐Inspired Computing
Memristors‐based integrated circuits for emerging bio‐inspired computing paradigms
require an integrated approach utilizing both volatile and nonvolatile memristive devices …
require an integrated approach utilizing both volatile and nonvolatile memristive devices …
Analog monolayer SWCNTs-based memristive 2D structure for energy-efficient deep learning in spiking neural networks
Advances in materials science and memory devices work in tandem for the evolution of
Artificial Intelligence systems. Energy-efficient computation is the ultimate goal of emerging …
Artificial Intelligence systems. Energy-efficient computation is the ultimate goal of emerging …
Printed High‐Entropy Prussian Blue Analogs for Advanced Non‐Volatile Memristive Devices
Non‐volatile memristors dynamically switch between high (HRS) and low resistance states
(LRS) in response to electrical stimuli, essential for electronic memories, neuromorphic …
(LRS) in response to electrical stimuli, essential for electronic memories, neuromorphic …
Programmable Retention Characteristics in MoS2-Based Atomristors for Neuromorphic and Reservoir Computing Systems
In this study, we investigate the coexistence of short-and long-term memory effects owing to
the programmable retention characteristics of a two-dimensional Au/MoS2/Au atomristor …
the programmable retention characteristics of a two-dimensional Au/MoS2/Au atomristor …
A bioinspired MXene-based flexible sensory neuron for tactile near-sensor computing
J Huang, J Feng, Z Chen, Z Dai, S Yang, Z Chen… - Nano Energy, 2024 - Elsevier
Multifunctional near-sensor computing sensory neurons based on the integration of flexible
sensors and memristors hold promise to achieve unprecedented development in large-scale …
sensors and memristors hold promise to achieve unprecedented development in large-scale …