Results 91 to 100 of about 810,737 (265)
THE TECHNICAL PROBLEMS IN COMPUTED TOMOGRAPHY (CT)
, 1978 Toshihiko Katakura
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Computed tomography in the investigation of dementia. [PDF]
, 1983 John Bradshaw +2 more
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Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
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Evaluation of computed tomography in the assessment of liver iron overload
, 1989 Dominique Guyader +8 more
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Computed tomography of the brain, chest, and abdomen in the preoperative assessment of non-small cell lung cancer. [PDF]
, 1988 D S Grant +2 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
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Computed Tomography Assessment of Retained Testes in Dogs. [PDF]
Animals (Basel)Spada S +7 more
europepmc +1 more source
Unsuspected organic disease in chronic schizophrenia demonstrated by computed tomography [PDF]
, 1980 D. G. C. Owens +3 more
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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