Results 101 to 110 of about 8,462 (295)
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Controlled Nonvolatile Transition in Polyoxometalates‐Graphene Oxide Hybrid Memristive Devices
Graphene oxide (GO)-based nonvolatile memory has triggered tremendous interest owing to its high mechanical flexibility, high optical transparency, low cost fabrication, and environmental friendly manufacture for future flexible and transparent ...
Ding, Guanglong +21 more
core +1 more source
Bi2O2Se/Bi2O5Se bilayer heterostructure exhibits reversible structural evolution during device operation, directly revealed by atomic‐scale investigation. Oxygen vacancy redistribution governs filament formation and rupture, enabling stable multilevel resistive switching and synaptic‐like behaviors.
Yen‐Jung Chen +8 more
wiley +1 more source
Polymer and organic nonvolatile memory devices
\u3cp\u3eOrganic molecules and semiconductors have been proposed as active part of a large variety of nonvolatile memory devices, including resistors, diodes and transistors.
Kim, Dong Yu +5 more
core
New photopatternable polyimide and programmable nonvolatile memory performances [PDF]
We report the first photopatternable, nonvolatile memory consisting of high-temperature polyimide (PI), poly (hexafluoroisopropylidenediphthalimide-4-cinnamoyloxytri-phenylamine) (6F-HTPA-CI), and we demonstrate the successful fabrication and ...
Hahm, Suk Gyu +2 more
core +1 more source
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng +9 more
wiley +1 more source
Melting-free integrated photonic memory with layered polymorphs
Chalcogenide-based nonvolatile phase change materials (PCMs) have a long history of usage, from bulk disk memory to all-optic neuromorphic computing circuits.
Ullah Kaleem +3 more
doaj +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
A Vertical Hybrid van der Waals Ferroelectric Material for Nonvolatile Memory
Two-dimensional (2D) ferroelectric materials can form an atomically thin dipole layer that can influence the electronic properties of a hybrid layered structure composed of a ferroelectric layer and a transition-metal dichalcogenide (TMDC). In this work,
Tawfik, Sherif Abdulkader, Gould, Tim
core +1 more source
OUM Nonvolatile Semiconductor Memory Technology Overview
OUMTM (Ovonic Unified Memory), also called PCRAM (phase-change RAM) or CRAM (chalcogenide RAM) is a nonvolatile semiconductor memory technology being developed by Ovonyx, Inc. in a number of industrial joint development programs.
Stephen J. Hudgens
core +1 more source

