Metraipolis › archive › dc_08bcadf74ecf

Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions — Europe PMC PMID:40040965

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40040965
DOI: 10.1016/j.heliyon.2025.e42714
License (as archived): solo-consultazione
Archived: 2026-10-08T03:16:35.616Z
SHA-256 of the archived text: 30c735a01f7e7c320ade34d84ff9245777f6ab89bfb98045487e2a8593d2f1ea
Stable URL of this page: https://metraipolis.com/documento/dc_08bcadf74ecf

How to cite

Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions — Europe PMC PMID:40040965 — Europe PMC (en), https://europepmc.org/article/MED/40040965 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_08bcadf74ecf (Metraipolis archive dc_08bcadf74ecf, sha256 30c735a01f7e7c320ade34d84ff9245777f6ab89bfb98045487e2a8593d2f1ea)

BibTeX

@misc{dc08bcadf74ecf,
  title = {Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions — Europe PMC PMID:40040965},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40040965},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_08bcadf74ecf; sha256 30c735a01f7e7c320ade34d84ff9245777f6ab89bfb98045487e2a8593d2f1ea},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/40040965. Agents can read the archived copy with the MCP tool read_document.