- Email Maintainer
-
Hydride Design via Machine Learning Paper
URL: https://pubs.acs.org/doi/abs/10.1021/acs.jpclett.9b02971
A link to the publication describing how these data are used in an interpretable machine learning algorithm to accelerate discovery of optimal hydride design.
Inga vyer har skapats för resursen.
Resource Metadata
| metadata modified | för 5 år sedan |
|---|
| Senast uppdaterad | 30 juni 2020 |
|---|---|
| Skapad | 30 juni 2020 |
| Format | okänd |
| Licens | Licens ej angiven |
