Results 91 to 100 of about 4,641 (217)
Hafnium carbide formation in oxygen deficient hafnium oxide thin films
On highly oxygen deficient thin films of hafnium oxide (hafnia, HfO$_{2-x}$) contaminated with adsorbates of carbon oxides, the formation of hafnium carbide (HfC$_x$) at the surface during vacuum annealing at temperatures as low as 600 {\deg}C is ...
Alff, L. +8 more
core +1 more source
Chemically‐Linked Heterostructures of Palladium Nanosheets and 2H‐MoS2
The photoresponse of MoS2 devices is extended to the near‐infrared region (up to 1700 nm) through chemical connection to Pd nanosheets (PdNS). A maleimide is used for covalent connection to MoS2, and a phenyl bromide moiety for linkage to the PdNS. In the absence of the chemical linker, van der Waals heterostructures show poorer enhancement of the ...
Ramiro Quirós‐Ovies +12 more
wiley +1 more source
MXene‐Based Flexible Memory and Neuromorphic Devices
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li +13 more
wiley +1 more source
Prediction of semi-metallic tetragonal Hf2O3 and Zr2O3 from first-principles
A tetragonal phase is predicted for Hf2O3 and Zr2O3 using density functional theory. Starting from atomic and unit cell relaxations of substoichiometric monoclinic HfO2 and ZrO2, such tetragonal structures are only reached at zero temperature by ...
Blaise, Philippe +3 more
core +1 more source
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Memristive Non-Volatile Memory Based on Graphene Materials
Resistive random access memory (RRAM), which is considered as one of the most promising next-generation non-volatile memory (NVM) devices and a representative of memristor technologies, demonstrated great potential in acting as an artificial synapse in ...
Zongjie Shen +8 more
doaj +1 more source
This work introduces a multi‐state probabilistic computing system based on Potts‐model p‐bits using stochastic switching floating body metal oxide semiconductor field effect transistors (FB‐MOSFETs). By employing drain‐voltage sharing and one‐hot sampling, the system achieves controllable probabilistic behavior.
Sunwoo Cheong +9 more
wiley +1 more source
Low-Rank Compensation in Hybrid 3D-RRAM/SRAM Computing-in-Memory System for Edge Computing
Artificial intelligence (AI) has made significant strides, with computing-in-memory (CIM) emerging as a key enabler for energy-efficient AI acceleration.
Weiye Tang +7 more
doaj +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Total dose hardness of TiN/HfOx/TiN resistive random access memory
Resistive random access memory based on TiN/HfOx/TiN has been fabricated, with the stoichiometry of the HfOx layer altered through control of atomic layer deposition (ALD) temperature. Sweep and pulsed electrical characteristics were extracted before and
de Groot, Kees +5 more
core +1 more source

