Results 201 to 210 of about 395,454 (285)

A Compact Resistively Loaded Metamaterial Absorber for 2.4 GHz RF Energy Harvesting With Impedance‐Matched Rectifier Analysis

open access: yesAdvanced Electronic Materials, EarlyView.
A compact resistively loaded metamaterial absorber captures RF energy at 2.4 GHz and directs most of the accepted power to modeled loads. The resonant response is confirmed experimentally for the fabricated absorber, while an impedance‐matched rectifier is evaluated through simulation. The stage‐wise results distinguish absorber, rectifier, and cascade
Md. Murad Kabir Nipun, Md. Jahedul Islam
wiley   +1 more source

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

open access: yesAdvanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo   +10 more
wiley   +1 more source

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Home - About - Disclaimer - Privacy