Results 211 to 220 of about 4,261,327 (287)

Lattice Coherency‐Driven (111)‐Oriented Wide Bandgap Perovskite Films

open access: yesAdvanced Energy Materials, EarlyView.
Methylammonium lead chloride (MAPbCl3)‐derived seed templates regulate wide‐bandgap perovskite crystallization through coupled thermodynamic and kinetic effects. Lattice‐coherent templating lowers the energy cost for (111) epilayer growth, while growth retardation controls crystallization kinetics, ultimately producing highly crystalline face‐up (111 ...
Yu‐Na Lee   +5 more
wiley   +1 more source

Amorphous π‐Conjugated Passivator Facilitates Widening Process Window for Reliable Perovskite Solar Modules

open access: yesAdvanced Energy Materials, EarlyView.
A wide process window is essential for the commercialization of perovskite photovoltaics. Here, we demonstrate an amorphous π‐conjugated passivator having an asymmetric mono‐iodine substituent on a carbazole moiety imparts a high dipole moment, desirable molecular energy levels, and high thickness tolerance, thereby enabling a wide process window in ...
Hyun Seo Kim   +17 more
wiley   +1 more source

TOTEM: A low-cost solar-powered aeroponic system for vertical agriculture. [PDF]

open access: yesHardwareX
Von Borstel FD   +3 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 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

MXene‐Derived Highly Oriented TiN Enables Ta3N5 Photoanodes for Transmission‐Mode Bias‐Free Solar Water Splitting

open access: yesAdvanced Energy Materials, EarlyView.
This work reports 2D MXene‐derived TiN thin films with (111)‐preferred orientation for transparent Ta3N5 photoanodes, demonstrating effective electron transfer behavior. All‐nitride electron‐collection architecture based on MXene‐derived TiN and n‐GaN resolves a long‐standing materials bottleneck between photocarrier transport and light transmission in
Jin Wook Yang   +10 more
wiley   +1 more source

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