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most citedPredicting Grain Boundary Segregation in Magnesium Alloys: An Atomistically Informed Machine Learning Approach

2 citations · 4 across the 7 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 1 cited

First-Principles Insights into the Site Occupancy of Ta-Fe-Al C14 Laves Phases

Nisa Ulumuddin, Sandra Korte-Kerzel, Zhuocheng Xie

This study investigates the site occupancy preferences of Al in Ta(FeAl) Laves phases using first-principles calculations, covering Al concentrations from 0 to 50 a…

cond-mat.mtrl-sci2024

Beyond Fundamental Building Blocks: Plasticity in Structurally Complex Crystals

Tobias Stollenwerk, Pia Carlotta Huckfeldt, Nisa Zakia Zahra Ulumuddin +3

Intermetallics, which encompass a wide range of compounds, often exhibit similar or closely related crystal structures, resulting in various intermetallic systems with structurally…

cond-mat.mtrl-sci2024★ 1 cited

Grain boundary segregation spectrum in basal-textured Mg alloys: From solute decoration to structural transition

Anumoy Ganguly, Hexin Wang, Julien Guénolé +4

Mg alloys are promising lightweight structural materials due to their low density and excellent mechanical properties. However, their limited formability and ductility necessitate…

cond-mat.mtrl-sci2024★ 2 cited

Predicting Grain Boundary Segregation in Magnesium Alloys: An Atomistically Informed Machine Learning Approach

Zhuocheng Xie, Achraf Atila, Julien Guénolé +3

Grain boundary (GB) segregation in magnesium (Mg) substantially influences its mechanical properties and performance. Atomic-scale modelling, typically using ab-initio or semi-empi…

cond-mat.mtrl-sci2024

Influence of chemical composition on the room temperature plas-ticity of C15 Ca-Al-Mg Laves phases

Martina Freund, Zhuocheng Xie, Pei-Ling Sun +8

The influence of chemical composition changes on the room temperature mechanical proper-ties in the C15 CaAl2 Laves phase were investigated in two off-stoichiometric compositions w…