Results 121 to 130 of about 8,311,474 (361)
Transformation of measurement uncertainties into low-dimensional feature vector space. [PDF]
R Soc Open Sci, 2021 Alexiadis A, Ferson S, Patterson EA.
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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
On the Basis Problem for Vector Valued Function Spaces [PDF]
, 1956 H. W. Ellis
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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
Vector bundles over three-dimensional spherical space forms
International Journal of Mathematics and Mathematical Sciences, 2006 We consider the problem of enumerating the G-bundles over low-dimensional manifolds (dimension ≤3) and in particular vector bundles over the three-dimensional spherical space forms.
Esdras Teixeira Costa +2 more
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Vector-group in real Euclidean space [PDF]
, 1949 Tatsuo Homma, Takizo Minagawa
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Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables. [PDF]
Behav Res Methods, 2022 Martínez-Huertas JÁ +3 more
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Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Advanced Engineering Materials, EarlyView.Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang +8 more
wiley +1 more source
The existence of vector function spaces with duals of integral type [PDF]
, 1958 Marston Morse, William Transue
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