Results 51 to 60 of about 8,060 (255)
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Preparation of Tunable Cu−Ag Nanostructures by Electrodeposition in a Deep Eutectic Solvent
ChemElectroChemThe green transition requires new, clean, inexpensive, and sustainable strategies to prepare controllable bimetallic and multimetallic nanostructures. Cu−Ag nanostructures, for example, are promising bimetallic catalysts for different electrocatalytic ...
Elena Plaza‐Mayoral +5 more
doaj +1 more source
Composition effects of electrodeposited Cu-Ag nanostructured electrocatalysts for CO2 reduction
iScienceSummary: The electrochemical carbon dioxide reduction (CO2RR) on Cu-based catalysts is a promising strategy to store renewable electricity and produce valuable C2+ chemicals.
Elena Plaza-Mayoral +6 more
doaj +1 more source
Journal of Materials Research and Technology, 2022 Due to the excellent combination of strength and ductility, eutectic high entropy alloys (EHEAs) are of great interests to the researchers. Here, a cobalt free cost-effective eutectic high entropy alloy was designed by VEC criterion.
Hao Wu +7 more
doaj +1 more source
An Overview on Fatigue of High-Entropy Alloys
Materials, 2023 Due to their distinct physical, chemical, and mechanical features, high-entropy alloys have significantly broadened the possibilities of designing metal materials, and are anticipated to hold a crucial position in key engineering domains such as aviation and aerospace.
Hu, Junchao +5 more
openaire +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Materials & DesignEutectic high-entropy alloys (EHEAs) have attracted considerable interest due to their superior multifunctional performance. However, the inherent tendency of stress concentration at irregular phase boundaries frequently leads to premature fracture. This
Qidong Ren +8 more
doaj +1 more source
Cailiao gongcheng, 2023 With the current-assisted bonding technology, the rapid brazing of SiC ceramics was realized at 1125℃ with CoFeCrNiCuTi2 high-entropy alloy as the bonding layer material, which improves the bonding efficiency and ensures the full diffusion of elements ...
LIU Yihe +4 more
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Twinning in metastable high-entropy alloys [PDF]
Nature Communications, 2018 AbstractTwinning is a fundamental mechanism behind the simultaneous increase of strength and ductility in medium- and high-entropy alloys, but its operation is not yet well understood, which limits their exploitation. Since many high-entropy alloys showing outstanding mechanical properties are actually thermodynamically unstable at ambient and ...
Shuo Huang +8 more
openaire +4 more sources