XRD simulation through vesta for the associated structure of Co

Among all the full-Heusler alloys, Co2MnSi and Co2FeSi alloys have been exhibited to be tremendous magnetic behavior such as high magnetic moment, half-metallicity and high Curie temperature. Magnetic moments are found to be highest value for the fully ordered sample and half-metallicity drastically reduces with disorder/swapping of elements. Hence, analysis of disorder/swapping is very trivial for achieving the highest magnetic moment and preserving half-metallicity in such type of alloys. Here, we have simulated the X-Ray Diffraction pattern using Vesta software for parent materials as well as associated with disordered and swapping with other elements. Super reflection peaks obtained from the simulated data are found to be very sensitive even for the small amount of swapping. Therefore, we have plotted the ratio of super reflection peaks and compared with the scattering factor data collected from the NIST, USA. Tetragonal distortion has also been revealed in the cubic structure; hence we have simulated the XRD pattern for the distorted sample also. Scaling of magnetization value have also been calculated from the Slater-Pauling rule and these values have compared with the experimental results available in the literature. This study will help researchers to understand and compare their experimental XRD results with simulated one.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-03-05
DOI
https://doi.org/10.1051/epjconf/202635601021/pdf
Primary Topic
Heusler alloys: electronic and magnetic properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

XRD simulation through vesta for the associated structure of Co

Akhilesh Kumar Upadhyay, Roop Chandra, Bal Govind, Gunjan Sharma et al.
Springer Link (Chiba Institute of Technology)
Heusler alloys: electronic and magnetic properties
article

XRD simulation through vesta for the associated structure of Co

Akhilesh Kumar Upadhyay, Roop Chandra, Bal Govind, Gunjan Sharma, Vaibhav Singh, Pushyamitra Mishra
article en

Abstract

Among all the full-Heusler alloys, Co2MnSi and Co2FeSi alloys have been exhibited to be tremendous magnetic behavior such as high magnetic moment, half-metallicity and high Curie temperature. Magnetic moments are found to be highest value for the fully ordered sample and half-metallicity drastically reduces with disorder/swapping of elements. Hence, analysis of disorder/swapping is very trivial for achieving the highest magnetic moment and preserving half-metallicity in such type of alloys. Here, we have simulated the X-Ray Diffraction pattern using Vesta software for parent materials as well as associated with disordered and swapping with other elements. Super reflection peaks obtained from the simulated data are found to be very sensitive even for the small amount of swapping. Therefore, we have plotted the ratio of super reflection peaks and compared with the scattering factor data collected from the NIST, USA. Tetragonal distortion has also been revealed in the cubic structure; hence we have simulated the XRD pattern for the distorted sample also. Scaling of magnetization value have also been calculated from the Slater-Pauling rule and these values have compared with the experimental results available in the literature. This study will help researchers to understand and compare their experimental XRD results with simulated one.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 36%
Heusler alloys: electronic and magnetic properties
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.