Results 161 to 170 of about 16,805 (257)

From Fundamentals to Engineering Sustainable Triboelectric Materials: A Review of Cellulose Platforms

open access: yesSmall, EarlyView.
This review examines cellulose as a sustainable platform for triboelectric nanogenerators, linking molecular structure, surface chemistry, and material engineering to charge generation, retention, and dissipation. Native, regenerated, and nanocellulose materials, functionalization strategies, scalable manufacturing, and diverse applications are ...
Renyun Zhang   +3 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

open access: yesSmart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin   +10 more
wiley   +1 more source

Progress in Explosion Mechanisms and Prevention Technologies for Direct Chill Casting Aluminum Melt Upon Water Contact: A Review

open access: yesSafety Science and Technology, EarlyView.
Molten aluminum–water explosion triggered by leakage remains the core unresolved safety hazard hindering safe production in aluminum direct chill casting. This review summarizes its explosion mechanism, key influencing factors, prevention technologies, existing gaps, and prospects of intelligent multi‐technology integrated explosion‐proof systems ...
Min Wang   +5 more
wiley   +1 more source

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

open access: yesSafety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang   +5 more
wiley   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

open access: yesStructural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik   +2 more
wiley   +1 more source

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

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