Predição de formação de solução sólida de ligas de alta entropia por Hume-Rothery

Solid solution formation (SSF) is of main concern in high-entropy alloys (HEAs). The more ready-to-implement approach to predict SSF is the Hume-Rothery’s (H-R). Therefore, this paper presents four parameters and their acceptance criteria to evaluate HEAs in what refers to SSF. Furthermore, AlCoCrFeNi alloy was subjected to SSF prediction framework based on H-R. The results show that the alloy does not form a solid solution based on H-R, which disagrees with several reports in the literature. Therefore, the framework should be aggregated with other parameters to predict the SSF of this alloy.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17200729
Primary Topic
Psychoanalysis and Psychopathology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predição de formação de solução sólida de ligas de alta entropia por Hume-Rothery

Zenodo (CERN European Organization for Nuclear Research)
Psychoanalysis and Psychopathology Research
article

Predição de formação de solução sólida de ligas de alta entropia por Hume-Rothery

article en

Abstract

Solid solution formation (SSF) is of main concern in high-entropy alloys (HEAs). The more ready-to-implement approach to predict SSF is the Hume-Rothery’s (H-R). Therefore, this paper presents four parameters and their acceptance criteria to evaluate HEAs in what refers to SSF. Furthermore, AlCoCrFeNi alloy was subjected to SSF prediction framework based on H-R. The results show that the alloy does not form a solid solution based on H-R, which disagrees with several reports in the literature. Therefore, the framework should be aggregated with other parameters to predict the SSF of this alloy.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Psychoanalysis and Psychopathology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predição de formação de solução sólida de ligas de alta entropia por Hume-Rothery · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS