Machine learning for high-entropy alloys: Progress, challenges and opportunities

X Liu, J Zhang, Z Pei - Progress in Materials Science, 2023 - Elsevier
High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional
mechanical properties and the vast compositional space for new HEAs. However …

Recent progress in high-entropy alloys: A focused review of preparation processes and properties

B Yu, Y Ren, Y Zeng, W Ma, K Morita, S Zhan… - Journal of Materials …, 2024 - Elsevier
In recent years, high-entropy alloys (HEAs) have attracted tremendous attention in various
fields. With multiple-principal elements and multiple core effects, giving them different …

A map of single-phase high-entropy alloys

W Chen, A Hilhorst, G Bokas, S Gorsse… - Nature …, 2023 - nature.com
High-entropy alloys have exhibited unusual materials properties. The stability of equimolar
single-phase solid solution of five or more elements is supposedly rare and identifying the …

高通量计算与机器学习驱动高熵合金的研究进展.

张聪, 刘杰, 解树一, 徐斌, 尹海清… - Journal of Materials …, 2023 - search.ebscohost.com
高熵合金因其多种合金元素以等原子比或近等原子比的组合而具有高熵效应, 严重的晶格畸变,
缓慢扩散以及特殊而优异的材料性质等特点, 在各个领域引起极大的关注. 其高强度和硬度 …

Short-range ordering heredity in eutectic high entropy alloys: A new model based on pseudo-ternary eutectics

K Bai, CK Ng, M Lin, F Wei, S Li, SL Teo, DCC Tan… - Acta Materialia, 2023 - Elsevier
Eutectic high entropy alloys (EHEAs) have garnered wide attention in the metal community
due to their excellent castability and unique microstructures. However, the formation …

Designing of high entropy alloys with high hardness: a metaheuristic approach

A Poonia, M Kishor, KPR Ayyagari - Scientific Reports, 2024 - nature.com
The near-infinite compositional space of high-entropy-alloys (HEAs) is a huge resource-
intensive task for developing exceptional materials. In the present study, an algorithmic …

Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker coherent potential approximation method applied to equiatomic quaternary high …

T Fukushima, H Akai, T Chikyow, H Kino - Physical Review Materials, 2022 - APS
Automatic exhaustive exploration of a large material space by high-performance
supercomputers is crucial for developing new functional materials. We demonstrated the …

Screening Multicomponent Alloys Using Evidence Theory and High-Throughput DFT Calculations for C2-Selective eCO2RR

F Kuroda, M Ibe, M Otani - The Journal of Physical Chemistry C, 2024 - ACS Publications
In this paper, we propose a strategy for screening multicomponent alloys using evidence
theory and high-throughput density functional theory calculations. We demonstrate an …

Exploring parameter dependence of atomic minima with implicit differentiation

I Maliyov, P Grigorev, TD Swinburne - npj Computational Materials, 2025 - nature.com
Interatomic potentials are essential to go beyond ab initio size limitations, but simulation
results depend sensitively on potential parameters. Forward propagation of parameter …

Multicomponent Alloy of FeCoNiVTiAl with a Dual Core–Shell Structure and Cactus-Like Morphology for Aerospace Applications

X Liu, C Liu, M Chen, C Bai, X Zhang… - ACS Applied Nano …, 2024 - ACS Publications
A dual core–shell structure with cactus-like morphology in a FeCoNiVTiAl multiprincipal
element alloy was synthesized for the first time through a reasonable composition design …