A Data-Driven Framework for Accelerated Modeling of Stacking Fault Energy from Density of States Spectra

A Data-Driven Framework for Accelerated Modeling of Stacking Fault Energy from Density of States Spectra

Stacking fault energy (SFE) is a critical property governing deformation mechanisms and influencing the mechanical behavior of materials. This work presents a unified framework for understanding and predicting SFE based solely on an electronic structure representation. By integrating density of stat...

Full description

Saved in:
Bibliographic Details
Main Authors: Md Tohidul Islam, Scott R. Broderick
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Crystals
Subjects:
stacking fault energy
density of states
machine learning (ML) in materials science
alloy design
dimensionality reduction
Online Access:https://www.mdpi.com/2073-4352/15/5/390
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4352/15/5/390

Similar Items