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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced 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

Analytical and Experimental Evaluation of the Heat Transfer Distribution over the Surfaces of Turbine Vanes [PDF]

open access: yes
Three airfoil data sets were selected for use in evaluating currently available analytical models for predicting airfoil surface heat transfer distributions in a 2-D flow field.
Hylton, L. D.   +4 more
core   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

open access: yesAdvanced 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

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