Results 101 to 110 of about 1,295,192 (344)

The Promise of Solid Lubricants for a Sustainable Future

Advanced Materials, EarlyView.
Lubricants are vital for technology, saving energy and resources. The industry seeks sustainable solutions beyond fossil fuels. Solid lubricants offer extremely low friction and reduce environmental impact, especially in harsh conditions. Can these solids truly replace liquid lubricants, or are they limited to extreme applications?
Philipp G. Grützmacher, Andrey A. Voevodin, András Korényi‐Both, Maria Clelia Righi, Christopher DellaCorte, Nazlim Bagcivan, Ali Erdemir, Carsten Gachot   +7 more
wiley   +1 more source

Smart Information Retrieval: Domain Knowledge Centric Optimization Approach

IEEE Access, 2019
In the age of the Internet of Things, online data have witnessed a significant growth in terms of volume and diversity, and research into information retrieval has become one of the important research themes in the Internet-oriented data science research.
Abduladem Aljamel, Taha Osman, Giovanni Acampora, Autilia Vitiello, Ziqi Zhang   +4 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Rapid and precise multifocal cutaneous tumor margin assessment using fluorescence lifetime detection and machine learning

APL Photonics
The precise determination of surgical margins is essential for the management of multifocal cutaneous cancers, including extramammary Paget’s disease.
Wenhua Su, Dachao Zheng, Jiacheng Zhou, Qiushu Chen, Liwen Chen, Yuwei Yang, Yiyan Fei, Haijun Yao, Jiong Ma, Lan Mi   +9 more
doaj   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

Advanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang, Zehui Lv, Xuejie Cai, Yingjie Wang, Bo Peng, Haojing Xu, Hualuo Pang, Xingdong Yang, Jiawei Xu, Yixin Bian, Bin Feng, Peng Wen, Yufeng Zheng, Xisheng Weng   +13 more
wiley   +1 more source

Exploring Kernel Machines and Support Vector Machines: Principles, Techniques, and Future Directions

Mathematics
The kernel method is a tool that converts data to a kernel space where operation can be performed. When converted to a high-dimensional feature space by using kernel functions, the data samples are more likely to be linearly separable.
Ke-Lin Du, Bingchun Jiang, Jiabin Lu, Jingyu Hua, M. N. S. Swamy   +4 more
doaj   +1 more source

Colloidal Heterostructures Enable Interfacial Transport of Immiscible Molecules in Printable Organohydrogels

Advanced Materials, EarlyView.
Multiphase printable organohydrogels with tunable microstructures are developed to control molecular transport pathways for immiscible cargo. The tortuosity and domain size of the colloidal phases are tuned by adjusting temperature and shear during processing, which enables the tailoring of diffusion kinetics due to different transport pathways.
Riley E. Dowdy‐Green, Rony Waheibi, Nazanin Shakoury, Yuemei Ye, Lilian C. Hsiao   +4 more
wiley   +1 more source

Learning curves for Soft Margin Classifiers

, 2002
Typical learning curves for Soft Margin Classifiers (SMCs) learning both realizable and unrealizable tasks are determined using the tools of Statistical Mechanics.
Gordon, Mirta B., Risau-Gusman, Sebastian   +1 more
core   +1 more source

Magnetic Domain Texture in Fe3O4 Thin Films on SiO2 Nanospheres

Advanced Materials, EarlyView.
Fe3O4 thin films grown on ordered SiO2 nanospheres form curved nanocaps with 3D geometry, inducing magnetic domain texture. X‐ray spectromicroscopy (XMCD‐PEEM), cross‐sectional electron microscopy (STEM), and polarized grazing‐incidence small‐angle neutron scattering (GISANS) reveal how topography modulates magnetization.
Mai Hussein Hamed, Yifan Xu, Hebatalla Elnaggar, Mohamed Zaghloul, Antonio M. Mio, Alicia Backs, Annika Stellhorn, Vitor de Oliveira Lima, Chenyang Yin, Connie Bednarski‐Meinke, Nina‐Juliane Steinke, Oleg Petracic, Thomas Brückel, Thomas Saerbeck, Asma Qdemat   +14 more
wiley   +1 more source

Comparative Analysis of Machine Learning Models for Predicting Viscosity in Tri-n-Butyl Phosphate Mixtures Using Experimental Data

Computation
Tri-n-butyl phosphate (TBP) is essential in the chemical industry for dissolving and purifying various inorganic acids and metals, especially in hydrometallurgical processes. Recent advancements suggest that machine learning can significantly improve the
Faranak Hatami, Mousa Moradi
doaj   +1 more source