Results 171 to 180 of about 18,048 (289)

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

High‐Performance Noble‐Metal‐Free Perovskite Solar Cells Enabled by MoOX/Cr/Al Multilayer Electrodes

open access: yesAdvanced Energy Materials, EarlyView.
Cost‐effective perovskite solar cells (PSCs) are developed using a noble‐metal‐free MoOX/Cr/Al multilayer electrode. The devices achieve a power conversion efficiency (PCE) of 25.6%, competitive with that of Au‐based devices (26.3%), and a 25.5 cm2 mini‐module shows 21.3% PCE.
Wooyeon Kim   +7 more
wiley   +1 more source

High-value organic solvent recovery and reuse in perovskite solar cell manufacturing. [PDF]

open access: yesSci Adv
Zheng Z   +11 more
europepmc   +1 more source

Synthetic Surface Design of Transparent Electrodes for Enhanced Molecular Contact in Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
A simple solution‐based ITO surface treatment unlocks the full potential of phosphonic‐acid SAMs by balancing surface hydroxylation, conductivity, and homogeneity. Moderately hydroxylated interfaces yield uniform, electronically favourable contacts, enhancing charge extraction, stability, and thermal‐cycling resilience, with broad applicability across ...
Rik Hooijer   +18 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

Redefining Crystalline Silicon: Unlocking New Horizons in Transparent and Flexible Photovoltaics

open access: yesAdvanced Energy Materials, EarlyView.
Crystalline silicon is presented as a platform for transparent and flexible photovoltaics. This review article outlines design principles for optical strategies to fabricate transparent silicon solar cells, mechanical strategies that mitigate silicon brittleness, and emerging concepts such as singlet‐fission spectral conversion and tandem architectures,
Kangmin Lee
wiley   +1 more source

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