GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images
Crossref DOI link: https://doi.org/10.1038/s41598-024-75841-z
Published Online: 2024-10-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Forni, Tommaso
Baldoni, Matteo
Le Piane, Fabio
Mercuri, Francesco
Text and Data Mining valid from 2024-10-19
Version of Record valid from 2024-10-19
Article History
Received: 28 June 2024
Accepted: 8 October 2024
First Online: 19 October 2024
Competing interests
: The authors declare no competing interests.