PhilippHoellmer commited on
Commit
985ccbe
·
verified ·
1 Parent(s): b1d15d2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -3
README.md CHANGED
@@ -32,17 +32,15 @@ The tables below indicate the recommended checkpoints for each model, as well as
32
  |[**perov-5-CSP**](https://huggingface.co/OMatG/perov-5-CSP) |VPSBD ODE |83.06 |0.3753 |Predict perovskite structures with **exactly 5 atoms** per unit cell. Should only be used if strictly necessary.|
33
 
34
 
35
- ### _de novo_ Generation (DNG)
36
  |model |best checkpoints | S.U.N rate (%)| RMSD | notes |
37
  |:---------:|:---------------:|:-------------:|:-----:|:----------------------------------------------------------------------:|
38
  |[**MP-20-DNG**](https://huggingface.co/OMatG/MP-20-DNG) |Linear SDE Gamma |22.48 |0.6357|Generate _de novo_ crystal structures with up to 20 atoms per unit cell. |
39
 
40
- ---
41
 
42
  ## Citation
43
  Please cite [our paper on OpenReview](https://openreview.net/forum?id=gHGrzxFujU) if using our models or datasets.
44
 
45
- ---
46
 
47
  ## Links
48
  [OMatG on GitHub](https://github.com/FERMat-ML/OMatG): See this repository for installation, training and usage instructions.
 
32
  |[**perov-5-CSP**](https://huggingface.co/OMatG/perov-5-CSP) |VPSBD ODE |83.06 |0.3753 |Predict perovskite structures with **exactly 5 atoms** per unit cell. Should only be used if strictly necessary.|
33
 
34
 
35
+ ### _De Novo_ Generation (DNG)
36
  |model |best checkpoints | S.U.N rate (%)| RMSD | notes |
37
  |:---------:|:---------------:|:-------------:|:-----:|:----------------------------------------------------------------------:|
38
  |[**MP-20-DNG**](https://huggingface.co/OMatG/MP-20-DNG) |Linear SDE Gamma |22.48 |0.6357|Generate _de novo_ crystal structures with up to 20 atoms per unit cell. |
39
 
 
40
 
41
  ## Citation
42
  Please cite [our paper on OpenReview](https://openreview.net/forum?id=gHGrzxFujU) if using our models or datasets.
43
 
 
44
 
45
  ## Links
46
  [OMatG on GitHub](https://github.com/FERMat-ML/OMatG): See this repository for installation, training and usage instructions.