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Results in Surfaces and Interfaces

  • Volume 4Issue 4

  • ISSN: 2666-8459

Editor-In-Chief: Ana Maria Ferraria

Results in Surfaces and Interfaces is an open-access journal that serves as a platform for the community of physicists, chemists, materials scientists and engineers, among… Read more

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Results in Surfaces and Interfaces is an open-access journal that serves as a platform for the community of physicists, chemists, materials scientists and engineers, among others, who are interested in the fundamental aspects of chemistry and physics occurring at surfaces, interfaces and thin films.The understanding of elementary processes at surfaces and interfaces is key to support the most advanced technology that will lead into a more successful and sustainable society, and that is why this knowledge must be open to everyone.

All fields related to chemistry and physics of surfaces and interfaces will be covered in this journal. For example:

electronic, magnetic, and optical devices

sensors

catalysts

lubricants

paints or adhesives

hard and thermal-barrier coatings

protection against corrosion and crack formation under harsh environments

surface functionalization applied in energy conversion and storage

pharmacology

smart surfaces

environmental and related fields, involving metal, semiconducting or isolating surfaces or interfaces whether organic or inorganic

theoretical calculation/modelling on surfaces and interfaces

All submissions are subject to a robust peer review process.

Results in Surfaces and Interfaces welcomes two types of papers:

Full research papers

Microarticles - Dataset papers. Datasets papers are designed to provide detailed descriptions of experimental, observational, computational or curated data. Datasets are very short papers (no longer than three pages), which may consist of a single, but well described piece of information, which contains a meta-data table and includes links to the resulting data files. The article must contain curated information to maximize interpretation, search and reuse of the underlying primary datasets.