Results 161 to 170 of about 8,764 (253)

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

A Decoupled Cycling Architecture of Asymmetric Zinc‐Air Battery Unlocks Stable Catalyst Strategy and pH‐Dynamic Influence

open access: yesAngewandte Chemie, EarlyView.
A decoupled cycling architecture along with cost‐effective membrane and efficient catalyst is developed for asymmetric zinc‐air battery. The decoupled design ensures stable operation of catalyst and the pH‐dynamic influence on battery performance is explored, which provides paths for efficient utilization of pH‐decoupling electrolytes.
Yeshu Tan   +6 more
wiley   +2 more sources

In Situ Evolution of Artificial Interphase Enabling Stable, High‐Performance Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
An evolutionary artificial interphase is presented for stable lithium metal batteries. A Mg3N2‐based layer spontaneously evolves into a hybrid interphase enriched with superionic Li3N and lithiophilic Mg‐Li alloy during cycling. This dynamic, self‐reinforcing mechanism effectively suppresses dendrite growth and enables exceptional long‐term cycling ...
Sangcheol Lee   +4 more
wiley   +1 more source

Challenges and enablers in fluidization technology

open access: yesAIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

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