Published July 22, 2026 | Version v1

Self-Shielded Multigroup Microscopic Cross Section Generation Using Targeted Artificial Neural Networks Data and Codes

  • 1. ROR icon Colorado School of Mines

Description

Data and Codes for the work published in NSE.

Start by downloading scripts and reading the README.

(Original training data h5 files are not included but can be made available on request, as these data total over 300 GBs.)

Files

all_nucs_90_new_204.csv

Files (936.8 MB)

Name Size
md5:dca8ab6b5f7ffbb1ec64921da3760944
741.7 MB Download
md5:29bbdacf1b6ae5dff82db5942e31117d
39.9 MB Preview Download
md5:3e353d6f7074bc479fa4b747ff143e0d
6.2 MB Download
md5:7cd32259d19075bca5663890ca1d8b8c
208.4 kB Download
md5:32f0c1ab8ea8259811626dfb78fb7503
364.8 kB Download
md5:a0838e5e76b08da5395450f10500d570
3.8 kB Download
md5:9b50a8694a1cfe838971ec77946badad
871 Bytes Download
md5:d9872b93370e7a3661445f880876163f
40.9 kB Download
md5:a87e8e17c578d5401cbca4a0c67f8223
28.6 kB Download
md5:e752cd9d7e8dfb58ab44a81ab6feecf9
713 Bytes Download
md5:7dcbd5f91fa6445bc2ff52cb0e3b19c6
74.1 MB Download
md5:bb0434c757ffdefb0e193b27962932b2
74.1 MB Download
md5:cd2afda30ee74680431c7e50165da100
37.5 kB Download