Artificial neural network for the correlation and prediction of surface tension of refrigerants

Literals

dcterms:creator
- Mulero Á.
dcterms:contributor
- Mulero A., Cachadina I., Valderrama J.O.
ou:bibtex
- @article{Mulero_2017, doi = {10.1016/j.fluid.2017.07.022}, url = {https://doi.org/10.1016%2Fj.fluid.2017.07.022}, year = 2017, month = {nov}, publisher = {Elsevier {BV}}, volume = {451}, pages = {60--67}, author = {{\'{A}}ngel Mulero and Isidro Cachadi{\~{n}}a and Jos{\'{e}} O. Valderrama}, title = {Artificial neural network for the correlation and prediction of surface tension of refrigerants}, journal = {Fluid Phase Equilibria} }
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027873393&origin=inward
ou:eid
- 2-s2.0-85027873393
bibo:doi
- 10.1016/j.fluid.2017.07.022
fabio:hasPublicationYear
- 2017
vivo:identifier
- 2017-484
bibo:issn
- 0378-3812
bibo:page_range
- 60-67
dcterms:publisher
- Fluid Phase Equilibria
ou:tipoPublicacion
- Article
dcterms:title
- Artificial neural network for the correlation and prediction of surface tension of refrigerants
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027873393&origin=inward
ou:urlOrcid
- https://doi.org/10.1016/j.fluid.2017.07.022
bibo:volume
- 451