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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

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

High‐Entropy Ti, Zr, Hf, Ta Multiphase Diboride with Deformation Resistance up to 2000 °C

open access: yesAdvanced Engineering Materials, EarlyView.
Ceramics are brittle and strength decreases with temperature. The multiphase high‐entropy (Ti0.25Ta0.25Hf0.25Zr0.25)B2 with heterogeneity at the nano‐ and microscale demonstrates deformation resistance up to 2000 °C, with maximum bending strength at 1800 °C.
Petre Badica   +3 more
wiley   +1 more source

Recursive reduction quadrature for the evaluation of Laplace layer potentials in three dimensions [PDF]

open access: yesarXiv
A high-order quadrature scheme is constructed for the evaluation of Laplace single and double layer potentials and their normal derivatives on smooth surfaces in three dimensions. The construction begins with a harmonic approximation of the density on each patch, which allows for a natural harmonic polynomial extension in a volumetric neighborhood of ...
arxiv  

Design and Evaluation of 3D‐Printed Polylactic Acid Composites Reinforced with Biodegradable Bamboo Powder and Jute Powder

open access: yesAdvanced Engineering Materials, EarlyView.
The study investigates 3D‐printed polylactic acid (PLA) composites with biodegradable bamboo and jute powder fillers. Mechanical, thermal, structural properties, and rheological behavior are discussed to evaluate composite performance. Morphological characterization indicates uniform dispersion and adhesion of the fillers in the PLA matrix with the ...
Vimukthi Dananjaya   +4 more
wiley   +1 more source

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