Abstract
The code here provides the training/testing of using Fourier Neural Operator for geological carbon storage applications
- Developers:
-
Kong, Qingkai [1] ; Tang, Hewei [1]
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Release Date:
- 2023-10-25
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 1.0
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 139188
- Site Accession Number:
- LLNL-CODE-858160
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Kong, Qingkai, and Tang, Hewei.
3D FNO model for geological carbon storage.
Computer Software.
https://github.com/qingkaikong/3DFNO_GCS.
USDOE National Nuclear Security Administration (NNSA).
25 Oct. 2023.
Web.
doi:10.11578/dc.20240805.4.
Kong, Qingkai, & Tang, Hewei.
(2023, October 25).
3D FNO model for geological carbon storage.
[Computer software].
https://github.com/qingkaikong/3DFNO_GCS.
https://doi.org/10.11578/dc.20240805.4.
Kong, Qingkai, and Tang, Hewei.
"3D FNO model for geological carbon storage." Computer software.
October 25, 2023.
https://github.com/qingkaikong/3DFNO_GCS.
https://doi.org/10.11578/dc.20240805.4.
@misc{
doecode_139188,
title = {3D FNO model for geological carbon storage},
author = {Kong, Qingkai and Tang, Hewei},
abstractNote = {The code here provides the training/testing of using Fourier Neural Operator for geological carbon storage applications},
doi = {10.11578/dc.20240805.4},
url = {https://doi.org/10.11578/dc.20240805.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240805.4}},
year = {2023},
month = {oct}
}