Results 211 to 220 of about 18,225 (302)

Stepwise Engineering of Van der Waals Heterostructures for High Current Density in Light Emitting Devices

open access: yesAdvanced Electronic Materials, EarlyView.
A novel strategy for achieving high current density in van der Waals (vdW) heterostructure‐based light‐emitting devices (LEDs) is proposed. Based on this concept, an LED utilizing a WS2/WSe2 heterostructure was fabricated, achieving a current density of 9.4 × 104 A/cm2.
Rei Usami   +7 more
wiley   +1 more source

All‐Solution‐Processed Perovskite Light‐Emitting Transistors Enabled by a Fully Organic Architecture

open access: yesAdvanced Electronic Materials, EarlyView.
Fully solution‐processed light‐emitting transistors based on CsPbBr3 perovskite nanocrystals (Pe‐LETs) are demonstrated using an all‐organic platform. By optimizing film formation and device integration, the Pe‐LETs achieve bright green emission with excellent color purity and a peak external quantum efficiency of 4.17 × 10−3 %, marking a step forward ...
Kelment Zahoaliaj   +8 more
wiley   +1 more source

Natural, small molecule aliphatics (cholesterol and hexadecyl palmitate) as dielectrics for low-voltage organic field effect transistors.

open access: yesMater Adv
Irimia CV   +17 more
europepmc   +1 more source

Twisted MoS2 Bilayers as Functional Elements in Memtransistors: Hysteresis, Optical Signatures, and Photocurrent Kinetics

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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