Machine learning models for accurately predicting properties of CsPbCl3 Perovskite quantum dots
Crossref DOI link: https://doi.org/10.1038/s41598-025-08110-2
Published Online: 2025-08-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Çadırcı, Mehmet Sıddık
Çadırcı, Musa
Text and Data Mining valid from 2025-08-22
Version of Record valid from 2025-08-22
Article History
Received: 14 December 2024
Accepted: 19 June 2025
First Online: 22 August 2025
Declarations
:
: The authors declare no competing interests.