A bond-based model for accurate prediction of lattice parameters of bcc solid solution alloys

The lattice parameter is an important material feature for solid solution alloys, a class of materials which includes the emerging high-entropy alloy (HEA) family. The Vegard's law is a typical method to estimate lattice parameters of random solid solutions and thus has been widely used by the HEA community. However, in this work, we show that the Vegard's law becomes inaccurate in predicting the lattice parameters of solid solution alloys featuring a body-centered-cubic (bcc) lattice, including the refractory high-entropy alloys (RHEAs). The inaccuracy of the Vegard's law originates from its inability to account for the charge transfer that arises from heteroelement atomic bonding, which alters the volumes of the atoms from their pure-element states. To address this limitation, a new physical model based on the atomic bond lengths derived from binary ordered intermetallic structures is proposed for accurate lattice parameter prediction by effectively capturing the charge transfer effect. This new model is validated by comparing its predictions to lattice parameters calculated by first-principles calculations for 292 alloy compositions including twelve different metal elements. Notably, our new model largely outperforms the Vegard's law in terms of prediction accuracy while maintaining a similar level of simplicity, free of fitting or any empirical parameters for making predictions. Specifically, the model produces a root mean squared error (RMSE) of 0.006 Å which is less than half that of the Vegard's law (RMSE = 0.015 Å).

Authors

Institutions

Publication Details

Journal
Materialia
Published
2025-04-12
DOI
https://doi.org/10.1016/j.mtla.2025.102410
Citations
2
Primary Topic
High Entropy Alloys Studies
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A bond-based model for accurate prediction of lattice parameters of bcc solid solution alloys

Christopher Tandoc, Liang Qi, Yong‐Jie Hu
2 citations
Materialia
High Entropy Alloys Studies
1.43
article

A bond-based model for accurate prediction of lattice parameters of bcc solid solution alloys

Christopher Tandoc, Liang Qi, Yong‐Jie Hu
article en
2 citations

Abstract

The lattice parameter is an important material feature for solid solution alloys, a class of materials which includes the emerging high-entropy alloy (HEA) family. The Vegard's law is a typical method to estimate lattice parameters of random solid solutions and thus has been widely used by the HEA community. However, in this work, we show that the Vegard's law becomes inaccurate in predicting the lattice parameters of solid solution alloys featuring a body-centered-cubic (bcc) lattice, including the refractory high-entropy alloys (RHEAs). The inaccuracy of the Vegard's law originates from its inability to account for the charge transfer that arises from heteroelement atomic bonding, which alters the volumes of the atoms from their pure-element states. To address this limitation, a new physical model based on the atomic bond lengths derived from binary ordered intermetallic structures is proposed for accurate lattice parameter prediction by effectively capturing the charge transfer effect. This new model is validated by comparing its predictions to lattice parameters calculated by first-principles calculations for 292 alloy compositions including twelve different metal elements. Notably, our new model largely outperforms the Vegard's law in terms of prediction accuracy while maintaining a similar level of simplicity, free of fitting or any empirical parameters for making predictions. Specifically, the model produces a root mean squared error (RMSE) of 0.006 Å which is less than half that of the Vegard's law (RMSE = 0.015 Å).

MaterialiaVol. 40
University of Michigan (US), Drexel University (US)
Openalex Percentile: Top 21%
High Entropy Alloys Studies
1.43
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.

A bond-based model for accurate prediction of lattice parameters of bcc solid solution alloys — Christopher Tandoc, Liang Qi, et al. · Materialia (2025) | TGRS Research Map | TGRS