Results 181 to 190 of about 1,249,014 (334)
Advanced Engineering Materials, EarlyView.Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek +7 more
wiley +1 more source
Serologic and Skin-Test Response after Q Fever Vaccination by the Intracutaneous Route [PDF]
, 1964 J. F. Bell +3 more
openalex +1 more source
Skin tests for the detection of Mycobacterial infections: achievements, current perspectives, and implications for other diseases. [PDF]
Appl Microbiol Biotechnol, 2021 Duthie MS, Reed SG.
europepmc +1 more source
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 +11 more
wiley +1 more source
Comparing Mantoux and Jet-Injection Methods of Tuberculin Skin Testing [PDF]
, 1968 Ernest Feigenbaum +3 more
openalex +1 more source
Assessment of immediate and non-immediate hypersensitivity contrast reactions by skin tests and provocation tests: A review. [PDF]
Int J Immunopathol Pharmacol, 2021 Bansie RD +6 more
europepmc +1 more source
Titanium honeycomb acoustic lining structural and thermal test report [PDF]
The results are presented of static, fatigue and thermal testing of titanium honeycomb acoustic panels representing the acoustic tailpipe for the Pratt and Whitney Aircraft JT8D Refan engine which is being studied for use on the Boeing 727-200 airplane ...
Balut, J. P., Joynes, D.
core +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 +4 more
wiley +1 more source