Machine Learning Prediction of TiO<sub>2</sub>-Coating Wettability Tuned via UV Exposure.

Jafari Gukeh, Mohamad; Moitra, Shashwata; Ibrahim, Ali Noaman; Derrible, Sybil; Megaridis, Constantine M

Machine Learning Prediction of TiO₂-Coating Wettability Tuned via UV Exposure.

Jafari Gukeh, Mohamad; Moitra, Shashwata; Ibrahim, Ali Noaman; Derrible, Sybil; Megaridis, Constantine M.

Afiliação

Jafari Gukeh M; Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
Moitra S; Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
Ibrahim AN; Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
Derrible S; Mechanical Engineering College, University of Babylon, Hilla 51001, Iraq.
Megaridis CM; Department of Civil, Materials, and Environmental Engineering, University of Illinois at Chicago, Chicago, Illinois 60607, United States.

ACS Appl Mater Interfaces ; 13(38): 46171-46179, 2021 Sep 29.

Article em En | MEDLINE | ID: mdl-34523902

Palavras-chave

TiO2 coating; contact angle; machine learning; photocatalytic; superhydrophilic; superhydrophobic; wettability

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ACS Appl Mater Interfaces Assunto da revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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