Results 151 to 160 of about 997,464 (307)

Data Collection and Extraction of Similar Material Model Based on XJTUOM and Geomagic Studio

open access: yesGong-kuang zidonghua, 2011
In order to solve problems of deformed model, limited collected data, complex operation, low efficiency and so on existed in measuring similar material model by use of traditional physical or mechanical measuring methods, the paper introduced a method of
XU Ya-nan   +3 more
doaj  

Photonic Nanomaterials for Wearable Health Solutions

open access: yesAdvanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park   +3 more
wiley   +1 more source

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

open access: yesAdvanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang   +12 more
wiley   +1 more source

Glaphene: A Hybridization of 2D Silica Glass and Graphene

open access: yesAdvanced Materials, EarlyView.
‘Glaphene’, a novel hybrid material combining 2D silica glass and graphene, is synthesized via a scalable liquid precursor‐based vapor‐phase growth. This study reveals interlayer hybridization beyond van der Waals interactions, leading to emergent semiconducting behavior.
Sathvik Ajay Iyengar   +10 more
wiley   +1 more source

CLIP-Based Point Cloud Classification via Point Cloud to Image Translation

open access: yes
Point cloud understanding is an inherently challenging problem because of the sparse and unordered structure of the point cloud in the 3D space. Recently, Contrastive Vision-Language Pre-training (CLIP) based point cloud classification model i.e. PointCLIP has added a new direction in the point cloud classification research domain.
Ghose, Shuvozit   +3 more
openaire   +2 more sources

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