Published June 17, 2021
| Version v1
Dataset
Open
An Improved Tandem Neural Network Architecture for Inverse Modeling of Multicomponent Reactive Transport in Porous Media
Authors/Creators
- 1. Jilin University
- 2. Nanjing University
- 3. University of Cincinnati
Description
This data includes the training and testing dataset for DNN design and the observation data of synthetic example for validation.
Files
Description of the dataset.pdf
Files
(3.6 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:85b40da4e7a563336cf34cf1617776dd
|
176.0 kB | Download |
|
md5:ecb5cef86206e9ffada254c358359574
|
17.6 kB | Download |
|
md5:b6bf493674c17ed67e46a440c464182a
|
290.1 kB | Download |
|
md5:69da817b3821fb745ae854eefca4c496
|
2.9 MB | Download |
|
md5:2e0e977ce380be72eddbe11ff5c37690
|
11.0 kB | Download |
|
md5:45d6206c335458f7d5dc1011f754fbf3
|
11.0 kB | Download |
|
md5:e79bcefaa5bf86deeee61d086d8765b7
|
11.0 kB | Download |
|
md5:e70084764b868c5787ac4ecc8584284c
|
10.1 kB | Download |
|
md5:867586d2bb9829a92de1db82d5340a09
|
206.7 kB | Preview Download |