Dataset: Understanding the kinetics of static recrystallization in Mg-Zn-Ca alloys using an integrated PRISMS simulation framework


Cite Dataset


Files
110,091
6.22 TB
Samples
37
in dataset
Workflows
0
documented
Views
211
total views
Downloads
1
total downloads
Published
Feb 24, 2026
6 months ago
File Types

110091 files across 5 type(s)

Processes & Activities

Activity types documented in this dataset

Composition

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Engagement Over Time

Unique views and downloads per month

Published
Published: 6 months ago
Views
211
Downloads
1
DOI
10.13011/m3-gx3x-ph54
License
Attribution License (ODC-By)
Total Size
6.22 TB
Authors
MC David Montiel University of Michigan MC Philip Staublin MC Supriyo Chakraborty MC Tracy Berman University of Michigan MC Chaitali Patil MC Michael Pilipchuk MC Veera Sundararaghavan MC John Allison University of Michigan MC Katsuyo Thornton University of Michigan
Description

This dataset contains the data and metadata for the experiments and simulations described described in the manuscript titled "Understanding the kinetics of static recrystallization in Mg-Zn-Ca alloys using an integrated PRISMS simulation framework" by David Montiel, Philip Staublin, Supriyo Chakraborty, Tracy Berman, Chaitali Patil, Michael Pilipchuk, Veera Sundararaghavan, John Allison, Katsuyo Thornton (Submitted to Computational Materials Science).

The experimental data is organized in Samples, where each Sample corresponds to a percentage of strain, deformation temperature, annealing temperature, and annealing time. Click on each Sample to see the corresponding details of the analysis.

All data and metadata for the phase field simulations is contained in the PRISMS_PF_Outputs directory. For information about this data organized, please refer to the README.md file in PRISMS_PF_Outputs.

More details, including the DOI of the article, will be added upon publication.

Binary 59 Excel 5 Image 290 Text 2753 Unknown 106984
EBSD 95 Gleeble 38 GND Calculation 8 Heat Treatment 3 Optical Microscopy 7 Receive Samples 37 Texture 2
Citations

No citation data found for this dataset or its associated papers.

Funding
This work was supported by the U.S. Department of Energy Office of Basic Energy Sciences Division of Materials Science and Engineering under Award #DE-SC0008637 as part of the Center for PRedictive Integrated Structural Materials Science (PRISMS).