Published June 5, 2026
| Version v3
Dataset
Open
NuSHRED - Compressed Data
Authors/Creators
-
1.
Politecnico di Milano
- 2. Autodesk Research
-
3.
University of Washington
Description
Compressed Data for the Github repository on the application of the Shallow Recurrent Decoder (SHRED) to Nuclear Reactor systems.
The simulation data (compressed) available are:
- [D1] Molten Salt Fast Reactor (MSFR) in the accidental scenario Unprotected Loss Of Fuel Flow (ULOFF) - Single Transient (Reconstruction mode)
- [D2] Molten Salt Fast Reactor (MSFR) in the accidental scenario Unprotected Loss Of Fuel Flow (ULOFF) - Parametric Transients
- [D3] DYNASTY Experimental Facility - Single Transient (Reconstruction & Prediction mode) and Parametric Transients
- [D4] TRIGA Mark II Reactor - Single Transient from CFD Model (Introini et al., 2018) - compressed
- [D5] LRA 2D Reactor - Diffusion and Point Kinetics Models
Files
checksums.txt
Files
(4.8 GB)
| Name | Size | |
|---|---|---|
|
md5:53a1d2d04a7840d78561dff15d66a64d
|
205 Bytes | Preview Download |
|
md5:13b977f3ba61514966e184cb001c7262
|
368.2 MB | Preview Download |
|
md5:cfd83121f5ef47dac0487f52b7db2c75
|
216.3 MB | Preview Download |
|
md5:19fc17c8b619bbd4610758108a254171
|
6.0 MB | Preview Download |
|
md5:a162898ca15feb8cf5cb5d2014e148fe
|
1.1 GB | Preview Download |
|
md5:3e1662fe73d4e5b2d18082bfa0b77a2e
|
3.1 GB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/ERMETE-Lab/NuSHRED
- Programming language
- Python