Results 81 to 90 of about 22,253 (240)

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Advanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin, Junhyung Kim, Hyungdoh Lee, Yixuan Dou, Jacob T. Heiden, Seung Eun Lee, Jinwoo Song, Lina Quan, Giulia Tagliabue, Min Seok Jang, Himchan Cho   +10 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Some High Temperature Diffusion Studies on Materials of Thermionic Interest [PDF]

High temperature diffusion studies between uranium materials and refractory metals and alloys - thermionic emission ...
Carpenter, F. D., Hudson, R. G., Yang, L.   +2 more
core   +1 more source

Solution Processed Polymer Source‐Gated Transistors for Zero‐Power Photosensing

Advanced Electronic Materials, EarlyView.
This study demonstrates the first solution‐processed bulk heterojunction organic source‐gated transistors (OSGTs) and photo‐OSGTs fabricated using DPP‐DTT: PCBM. Copper‐electrode OSGTs show deep off‐state at zero gate‐source voltage, channel length‐independent on‐state current, and low voltage saturation (γ = 0.22).
Eva Bestelink, Ahmed Wafic, Mattia Scagliotti, Dimitar Kutsarov, Imalka Jayawardena, Matteo Rapisarda, Radu A. Sporea   +6 more
wiley   +1 more source

Tunable graphene micro-emitters with fast temporal response and controllable electron emission

Nature Communications, 2016
Controlling the electron emission of microfabricated field emitters can be challenging. Here the authors report controllable and tunable graphene thermionic micro-emitters with well-defined turn-on voltages and switching times in the microsecond range ...
Gongtao Wu, Xianlong Wei, Song Gao, Qing Chen, Lianmao Peng   +4 more
doaj   +1 more source

Diffusion and electron emission properties of duplex refractory metal thermionic emitters [PDF]

Diffusion and electron emission properties of duplex refractory metal thermionic ...
Hudson, R. G., Yang, L.
core   +1 more source

Quantitative Analysis and Mitigation Strategy for Hot Carrier Degradation in a‐IGZO Transistor

Advanced Electronic Materials, EarlyView.
This work presents a quantitative analysis of hot carrier degradation in a‐IGZO transistors, revealing an asymmetric drain‐side Schottky barrier increase and localized defect generation. The transfer length method and SCLC measurements enable defect quantification.
Changeon Jin, Sunwoong Ham, Taewon Seo, Dae Hwan Kang, Yoonyoung Chung   +4 more
wiley   +1 more source

Simulated temperature of a tungsten spot facing large plasma heat loads

Nuclear Materials and Energy
In fusion devices like ITER, plasma-wall interactions are a significant concern due to the high heat fluxes, often tens of MW/m2, impacting the first wall.
J. Moritz, S. Heuraux, M. Lesur, E. Gravier, F. Brochard, L. Marot, P. Hiret   +6 more
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

A Review of Transient Characterization Techniques for Quantum Dot Light‐Emitting Diodes

Advanced Physics Research, EarlyView.
This review surveys transient characterization techniques for quantum dot light‐emitting diodes, including TRPL, TREL, TA, and E‐TA. These methods resolve carrier‐selective dynamics across multiple time scales, enabling direct analysis of charge injection, exciton formation and recombination, efficiency roll‐off, and device degradation.
Jaekwon Kim, Yeongmin Moon, Soojeong Yim, Hee Won Son, Hayeon Seo, Jeonghun Kwak   +5 more
wiley   +1 more source