Published January 2, 2023
| Version v1
Dataset
Open
Data: Upsamling Monte Carlo Neutron Transport Simulation Tallies Using a Convolutional Neural Network
Authors/Creators
- 1. The Colorado School of Mines
- 2. Argonne National Laboratory
Description
This repository contains:
- openmc-data-XXXX.tar.gz - Training Data generated with the OpenMC Monte Carlo code representing neutron flux tallies in 4,400 unique light water reactor fuel assemblies in HDF5 format. Training samples consist of tallies in 64x64 pixels and 8 neutron energy groups, and tallies in 128x128 pixels and 16 neutron energy groups. Folders 0008 to 0023 contain training and validation data. Folder 0024 contains test data.
- out.mat - Upsampling results using a Convolutional Neural Network for 300 testing data samples in MATLAB format. These data include OpenMC tally uncertainties in low and high resolution tallies, scaling values used in data pre-processing, low resolution inputs to the CNN, and high resolution upsampled results as well as high resolution ground truth values.
Files
Files
(30.0 GB)
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md5:3f69c0e23ea4bbe1090220dfac4ff1e8
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603.5 MB | Download |
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md5:f18b5014706d2e095325a9dfe1c2b2aa
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603.7 MB | Download |
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md5:53e3dabd855fdee283f999cd39934a1c
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1.2 GB | Download |
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md5:21b6e8deff52293482b6fed02ab5af1d
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1.2 GB | Download |
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md5:a7f16e7b5d8c28f5c892f4f30ae48bd1
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1.2 GB | Download |
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md5:c6791f51f449743a9d2c2eea9c23f52b
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1.8 GB | Download |
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md5:9a12aa9d628ca8d9036b4efa9d7d41ec
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1.8 GB | Download |
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md5:a621f742be6c4f197c4730d739a3c532
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1.8 GB | Download |
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md5:e518ccea6e24561d0f449d5c14ddb465
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1.8 GB | Download |
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md5:1beefbf5ee4d809a2fbb51648eee0372
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1.8 GB | Download |
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md5:f88b579de994aa4c650209ae3bf811e4
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1.8 GB | Download |
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md5:3b8fd7920550ee84fd14307cf3824ca9
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1.8 GB | Download |
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md5:0c16c2cfe36e4f38fcff6724fa8d9ea2
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1.8 GB | Download |
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md5:40a239589f4edbfb677035e8bc87cc98
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1.8 GB | Download |
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md5:22054c6e09c7757f6dbedf18fd183029
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1.8 GB | Download |
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md5:aa6e6207e1992bdd6c0966606a222861
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1.8 GB | Download |
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md5:fe095f9807cffa337d9a7b0113a13eb2
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1.8 GB | Download |
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md5:8b1af8be75b37e9abd3f6b41dc68e3a8
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3.5 GB | Download |