![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
"MetalHawk: Enhanced Classification of Metal Coordination Geometries by ..."
Gianmattia Sgueglia et al. (2024)
- Gianmattia Sgueglia
, Michail D. Vrettas
, Marco Chino
, Alfonso De Simone, Angela Lombardi
:
MetalHawk: Enhanced Classification of Metal Coordination Geometries by Artificial Neural Networks. J. Chem. Inf. Model. 64(7): 2356-2367 (2024)
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.