Results 161 to 170 of about 3,493,944 (312)
Advanced Engineering Materials, EarlyView.In this study, how friction‐welding parameters (rotational speed, etc.) affect the morphology, distribution, and local thickness of the intermetallic compound layer (IMC‐layer) in friction‐welded steel‐aluminum hybrid components is investigated. In the results, it is shown that lower speeds (700 rpm) lead to a more uniform, thinner IMC‐layer (<0.5 μm),
Christoph Kahra +6 more
wiley +1 more source
TLC Identification of Four Artificial Sweeteners in Beverages: Collaborative Study [PDF]
, 1969 Trean Korbelak
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Concurrent collaborative captioning
, 2013 Captioned text transcriptions of the spoken word can benefit hearing impaired people, non native speakers, anyone if no audio is available (e.g. watching TV at an airport) and also anyone who needs to review recordings of what has been said (e.g.
Wald, Mike
core
Advanced Engineering Materials, EarlyView.This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld +9 more
wiley +1 more source
collaborator. SURGERY OF THE SPINE AND SPINAL CORD
, 1920 CHARLES H. FRAZIER +1 more
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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
Collaborative Study on the Quantitative Gas Chromatographic Determination of Lactic and Succinic Acids in Eggs [PDF]
, 1969 Walter F Staruszkiewicz
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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 +4 more
wiley +1 more source