Results 181 to 190 of about 653,157 (286)

Maximum Stability Point Tracking Stabilizes Wide‐Bandgap Mixed‐Halide Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
A maximum stability point tracking (MSPT) strategy suppresses charge trapping‐induced halide segregation, enabling wide‐bandgap perovskite solar cells to achieve significantly enhanced operational stability compared to conventional maximum power point tracking (MPPT).
Seongheon Kim   +7 more
wiley   +1 more source

Chemomechanically Adaptive MXene–Si–Ag Dual‐Seed Interlayer Enabling Low‐Pressure Sulfide all‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Interfacial chemo‐mechanical instability limits stable operation of sulfide‐based all‐solid‐state batteries under low stack pressure. Here, a chemomechanically adaptive MXene–Si–Ag dual‐seed interlayer integrates immobile and mobile lithiophilic sites within a mechanically compliant MXene framework, regulating Li‐ion flux, stabilizing solid–solid ...
Youngjin Song   +7 more
wiley   +1 more source

3D Printed Ordered Porous Architectures of Functional Metal Tellurides for Ultra High Mass‐Loaded Ammonium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Aqueous ammonium‐ion batteries (AAIBs) are emerging as promising alternatives for next‐generation energy storage. To overcome the limited ion diffusion associated with ultrahigh mass‐loading electrodes, this work develops a 3D‐printed porous conductive electrode of metal‐telluride fabricated via selective laser melting technique.
Puja De   +5 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

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