Modeling and prediction of surface free energy of pavement materials based on a single probe liquid using artificial neural network-Reference-Cited by-同舟云学术

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Modeling and prediction of surface free energy of pavement materials based on a single probe liquid using artificial neural network

Published:2024-03 Issue: Volume:46 Page:104107
ISSN:2468-0230
Container-title:Surfaces and Interfaces
language:en
Short-container-title:Surfaces and Interfaces

Author:

Dalhat M.A.^ORCID

Funder

Imam Abdulrahman Bin Faisal University

Publisher

Elsevier BV

Reference50 articles.

1. R.L. Lytton, E.A. Masad, C. Zollinger, R. Bulut, D. Little, Measurements of surface energy and its relationship to moisture damage, 2005. https://static.tti.tamu.edu/tti.tamu.edu/documents/0-4524-2.pdf.

2. Contact angle measurements of cellulose based thin film composites: wettability, surface free energy and surface hardness;Rbihi;Surf. Interfaces,2020

3. Core-shell ZrO2@GO hybrid for effective interfacial adhesion improvement of carbon fiber/epoxy composites;Wu;Surf. Interfaces,2023

4. Preparation of PTFE-glass composite filter with low surface free energy by sandblasting;Bin Kim;Surf. Interfaces,2021

5. Using surface free energy method to study the cohesion and adhesion of asphalt mastic;Tan;Constr. Build. Mater.,2013

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