Results 171 to 180 of about 13,501 (263)

LESSDD-Net: A Lightweight and Efficient Steel Surface Defect Detection Network Based on Feature Segmentation and Partially Connected Structures. [PDF]

Sensors (Basel)
Wu J, Zhang L, Pu X.
europepmc   +1 more source

Architecture of Semiconductive Macroporous Polymer Scaffold to Realize Ultra‐Fast Charging in Lithium Metal Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
To achieve stable and zero‐expansion Li deposition at high charge rate in lithium metal batteries, a multifunctional macroporous scaffold utilizing the semiconducting properties of PPy is developed. This rationally engineered scaffold enables stable and dendrite‐free plating/stripping without volume expansion even at high current densities of 5 C rate,
Jinhyeon Jo, Changhyeon Lee, Kiyeon Sim, Seokin Kim, Jaehyeon Park, KwangSup Eom   +5 more
wiley   +1 more source

A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference. [PDF]

Sci Rep
Shen Z, Deng Q, Wu Z, Jin K, Zhong Y, Shi Y, Ling Y, Hu S.   +7 more
europepmc   +1 more source

Synergistic Microstructure and Dielectric Engineering of Recyclable Single‐Electrode Triboelectric Nanogenerators for Sustainable Smart Homes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A recyclable triboelectric nanogenerator integrating a pseudo‐honeycomb microstructure with liquid metal doping achieves 120% higher output (122 mW m−2) and >90% retention over seven cycles, enabling self‐powered smart home functions. The performance of single‐electrode triboelectric nanogenerators (SE‐TENGs) is governed by the effective contact area ...
Chencheng Hu, Yuehan Pei, Wenbo Hu, Yu Qi, Ruida Cao, Long Yang, Zitong Kan, Yang Lu, Biao Dong, Hongwei Song, Lin Xu   +10 more
wiley   +1 more source

Hierarchical depth aware YOLO for efficient metal surface defect detection. [PDF]

Sci Rep
Qin Q, Khairuddin ASM, Idros N, Liu H, Fan L, Yang Z, Li J, Zhu C.   +7 more
europepmc   +1 more source

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

Effects of Processing and Geometry Parameters on Mass Deviation and Microstructure Evolution in Selective Laser Melted 316L Thin Struts. [PDF]

Materials (Basel)
Mao Z, Gu Z, Xie Y, Guo W, Ji X.
europepmc   +1 more source

Flexible Direct‐Conversion X‐Ray Detectors: From Emerging Materials to Conformal Imaging

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This comprehensive review analyzed the performance, challenges, and future directions of four emerging material systems for next‐generation flexible direct‐conversion X‐ray detectors: organic semiconductors, perovskites, metal–organic frameworks, and inorganic metal compounds.
Haipeng Di, Guoliang Ma, Jiaxin Mu, Kailian Dong, Haibin Li, Manjing Wang, Xin Song, Haojin Li, Jianwei Xu, Yiying Zhao, Jingjing Zhao, Guojia Fang   +11 more
wiley   +1 more source

WaveMamba-YOLO: Combining frequency awareness and state-space modeling for defect localization. [PDF]

PLoS One
Ge A, Lv Y, Huang J.
europepmc   +1 more source

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source