Results 251 to 260 of about 262,026 (340)

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

Advanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong, Zhangbin Ji, Luke Haworth, Yihao Guo, Jaime del Moral, Stefan Jacob, Ana Borras, Agustin R. Gonzalez‐Elipe, Jikai Zhang, Jian Zhou, Glen McHale, Yong‐Qing Fu   +11 more
wiley   +1 more source

Automatic image annotation using SURF descriptors [PDF]

, 2012
V. Muhammed Anees, G. Santhosh Kumar, M. Sreeraj   +2 more
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

An in silico MS/MS library for automatic annotation of novel FAHFA lipids. [PDF]

J Cheminform, 2015
Ma Y, Kind T, Vaniya A, Gennity I, Fahrmann JF, Fiehn O.   +5 more
europepmc   +1 more source

Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes [PDF]

, 2012
Elisabet Carcel, Manuel Martos, Xavier Giró-i-Nieto, Ferran Marqués   +3 more
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Automatic policing of biochemical annotations using genomic correlations

, 2009
Tzu‐Lin Hsiao, Olga Revelles, Haiyong Chen, Uwe Sauer, Dennis Vitkup   +4 more
openalex   +2 more sources

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

High‐Entropy Ti, Zr, Hf, Ta Multiphase Diboride with Deformation Resistance up to 2000 °C

Advanced Engineering Materials, EarlyView.
Ceramics are brittle and strength decreases with temperature. The multiphase high‐entropy (Ti0.25Ta0.25Hf0.25Zr0.25)B2 with heterogeneity at the nano‐ and microscale demonstrates deformation resistance up to 2000 °C, with maximum bending strength at 1800 °C.
Petre Badica, Mihai Alexandru Grigoroscuta, Andrei Cristian Kuncser, Oleg Vasylkiv   +3 more
wiley   +1 more source

Design and Evaluation of 3D‐Printed Polylactic Acid Composites Reinforced with Biodegradable Bamboo Powder and Jute Powder

Advanced Engineering Materials, EarlyView.
The study investigates 3D‐printed polylactic acid (PLA) composites with biodegradable bamboo and jute powder fillers. Mechanical, thermal, structural properties, and rheological behavior are discussed to evaluate composite performance. Morphological characterization indicates uniform dispersion and adhesion of the fillers in the PLA matrix with the ...
Vimukthi Dananjaya, Yongqi Wang, Yashi Zheng, Prasad Potluri, Chamil Abeykoon   +4 more
wiley   +1 more source