Integrating experimental data with machine learning models to predict thermal conductivity and efficiency in rice husk graphene-enhanced PCM solar collectors
Crossref DOI link: https://doi.org/10.1007/s10973-025-14660-4
Published Online: 2025-09-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Çolak, Andaç Batur https://orcid.org/0000-0001-9297-8134
Text and Data Mining valid from 2025-09-03
Version of Record valid from 2025-09-03
Article History
Received: 12 March 2025
Accepted: 3 August 2025
First Online: 3 September 2025
Declarations
:
: The author states that there is no conflict of interest for this study.