Results 231 to 240 of about 1,067,464 (313)
Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco+8 more
wiley +1 more source
Re: Birth weight and transposition of great arteries
Jacqueline A. Noonan
openalex +1 more source
Effects of Gestational Age, Birth Weight, and Hypoxemia on Pharmacokinetics of Amikacin in Serum of Infants [PDF]
Martin G. Myers+2 more
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
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
Gestational weight gain and birth weight of newborn
Wen-Hsun Chang+2 more
doaj
Increased Birth Weight in Leukemia [PDF]
Wladimir Wertelecki, Nathan Mantel
openalex +1 more source
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+2 more
wiley +1 more source
Adjustment for environmental factors on birth weight and weaning weight beef calves
Kazuo KUMAZAKI, Teruo Matsuo
openalex +2 more sources