Computational and Experimental Studies on Corrosion of Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Corrosion".
Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 2263
Special Issue Editors
Interests: sol–gel glass ceramics doped with rare-earths for photonics; fluorescence-based thermometry; synthesis, structure and properties of luminescent glasses
Special Issues, Collections and Topics in MDPI journals
Interests: atmospheric corrosion; corrosion protection; corrosion modelling; organic coatings; smart coatings; scanning microelectrochemical techniques; corrosion inhibitors; biocides; nanoparticles
Special Issue Information
Dear Colleagues,
In recent decades, the development of mathematical models representing chemical and physical phenomena, as well as the application of modern computing simulations to analyze them, have experienced huge advancement. These methods have found applications in predicting atmospheric corrosion (i.e., via machine learning), characterizing corrosion inhibition mechanisms and their relationship with the molecular characterize structure and the adsorption processes, pit corrosion nucleation and growth, erosion-corrosion, crevice corrosion, and stress-corrosion cracking processes in industry. The development of new algorithms is also employed to improve the power of the software employed for the analysis of EIS data. Altogether, these examples reflect the important role that computational simulation plays in the field of corrosion. Moreover, climate change and global warming may affect the atmospheric corrosion processes, mostly by their extreme events.
This Special Issue focuses on Computational Simulation and Experimental Investigations on Corrosion of Materials as it relates to atmospheric influence, exploring the greatest advances in the field of corrosion prevision and surface modification by corrosion modeling. Topics include, but are not limited to, materials corrosion analysis by computational simulation, density functional theory (DFT), Monte Carlo (MC), molecular dynamics (MD), and RF-based machine learning.
Dr. Helena Vasconcelos
Dr. Juan José Santana Rodríguez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- atmospheric corrosion
- corrosion protection
- corrosion modeling
- coatings
- inhibitor
- electrochemical properties
- crystallographic properties
- surface degradation
