| dc.contributor.author | Díez Valbuena, Guillermo | |
| dc.contributor.author | García Tuero, Alejandro | |
| dc.contributor.author | Díez Peláez, Jorge | |
| dc.contributor.author | Rodríguez Ordóñez, Eduardo | |
| dc.contributor.author | Hernández Battez, Antolín Esteban | |
| dc.date.accessioned | 2024-10-22T06:08:34Z | |
| dc.date.available | 2024-10-22T06:08:34Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Journal of Molecular Liquids, 400, (2024); doi:10.1016/j.molliq.2024.124555 | |
| dc.identifier.issn | 0167-7322 | |
| dc.identifier.uri | https://hdl.handle.net/10651/75326 | |
| dc.description.sponsorship | Ministry of Science, Innovation and Universities (Spain); State Investigation Agency [PID2022-136656NB-I00]; Foundation for the Promotion of Applied Scientific Research and Technology in Asturias (Spain); Guillermo Diez- Valbuena at the University of Oviedo (Spain) [SV-PA-21- AYUD/2021/50987]; Government of the Principality of Asturias under Severo Ochoa predoctoral program [BP22-153] | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Molecular Liquids | |
| dc.rights | ©, | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189066383&doi=10.1016%2fj.molliq.2024.124555&partnerID=40&md5=69690549b1742290237968fe36768841 | |
| dc.title | Prediction of the cold flow properties of biodiesel using the fame distribution and machine learning techniques | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.molliq.2024.124555 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.molliq.2024.124555 | |
