Dataset Open Access
Data publication: Physics-enhanced neural networks for equation-of-state calculations
Callow, Timothy James
Researcher(s)
Kraisler, Eli;
Nikl, Jan
Supervisor(s)
Cangi, Attila
Data for the paper "Physics-enhanced neural networks for equation-of-state calculations"
There are two tar folders:
-
trained_models.tar: This contains the final trained models
-
atoMEC_data.tar.gz: This contains the output from the average-atom calculations.
For a more detailed explanation of the contents of these folders, please consult the README.md file of this GitHub repository
Files
(3.5 GB)
| Name | Size | |
|---|---|---|
|
atoMEC_data.tar.gz
md5:abef0601267cf65d204411a618f761c8 |
3.5 GB | Download |
|
trained_models.tar
md5:50ebce2c59cdb13d3b8ed4759ad00c4c |
7.2 MB | Download |
527
57
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 527 | 527 |
| Downloads | 57 | 57 |
| Data volume | 83.7 GB | 83.7 GB |
| Unique views | 475 | 475 |
| Unique downloads | 53 | 53 |
- Publication date:
- May 4, 2023
- DOI:
-
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-38068 - Referenced by:
https://www.hzdr.de/publications/Publ-37955, https://www.hzdr.de/publications/Publ-37075 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International