Results 201 to 210 of about 98,864 (312)

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

First‐Principles Modeling of Solid Solution Softening and Hardening Effects in Al–Mg–Zr–Si Aluminum Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay   +3 more
wiley   +1 more source

Effective field theory and nuclear mean-field models [PDF]

open access: green, 2000
R. J. Furnstahl, Brian D. Serot
openalex   +1 more source

High‐Temperature Oxidation of the CrFeNi Medium‐Entropy Alloy

open access: yesAdvanced Engineering Materials, EarlyView.
The oxidation behavior of equiatomic CrFeNi MEA is a key issue that determines this material's suitability for high‐temperature application. The understanding of long‐term behavior is even more crucial than short‐term corrosion effects. The alloy is exposed to synthetic air at 1000, 1050, and 1100 °C for 24, 100, and 1000 h and systematically compared ...
Anna Maria Manzoni   +5 more
wiley   +1 more source

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