Partial Least-Squares Regression as a Tool To Predict Fluoropolymer Surface Modification by Dielectric Barrier Discharge in a Corona Process Configuration in a Nitrogen–Organic Gaseous Precursor Environment | Zendy

Julien Vallade | Zendy; Stéphane Turgeon | Zendy; Gaétan Laroche | Zendy

Open Access

Partial Least-Squares Regression as a Tool To Predict Fluoropolymer Surface Modification by Dielectric Barrier Discharge in a Corona Process Configuration in a Nitrogen–Organic Gaseous Precursor Environment

Author(s) -

Julien Vallade,

Stéphane Turgeon,

Gaétan Laroche

Publication year - 2018

Publication title -

industrial and engineering chemistry research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.878

H-Index - 221

eISSN - 1520-5045

pISSN - 0888-5885

DOI - 10.1021/acs.iecr.8b00228

Subject(s) - partial least squares regression , contact angle , dielectric barrier discharge , nitrogen , fluoropolymer , corona discharge , surface modification , analytical chemistry (journal) , ultraviolet , plasma , chemistry , chemical engineering , materials science , dielectric , composite material , organic chemistry , polymer , optoelectronics , electrode , engineering , statistics , mathematics , quantum mechanics , physics

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