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Formation and morphology of closed and porous films grown from grains seeded on substrates: Two-dimensional simulations
- Source :
- Acta Materialia. 225:117555
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Two-dimensional simulations are used to explore topological transitions that occur during the formation of films grown from grains that are seeded on substrates. This is done for a relatively large range of the initial value $\Phi_s$ of the grain surface fraction $\Phi$. The morphology of porous films is captured at the transition when grains connect to form a one-component network using newly developed raster-free algorithms that combine computational geometry and network theory. Further insight on the morphology of porous films and their suspended counterparts is obtained by studying the pore surface fraction $\Phi_p$, the pore over grain ratio, the pore area distribution, and the contribution of pores of certain chosen areas to $\Phi_p$. Pinhole survival is evaluated at the transition when film closure occurs using survival function estimates. The morphology of closed films ($\Phi = 1$) is also characterized and is quantified by measuring grain areas and perimeters. The majority of investigated quantities are found to depend sensitively on $\Phi_s$ and the long-time persistence of pinholes exhibits critical behavior as a function of $\Phi_s$. In addition to providing guidelines for designing effective processes for manufacturing thin films and suspended porous films with tailored properties, this work may advance the understanding of continuum percolation theory.
- Subjects :
- Chemical Physics (physics.chem-ph)
Condensed Matter - Materials Science
Polymers and Plastics
Thin films
Metals and Alloys
Materials Science (cond-mat.mtrl-sci)
FOS: Physical sciences
Grain growth
Electronic, Optical and Magnetic Materials
Physics - Chemical Physics
Physics - Data Analysis, Statistics and Probability
Ceramics and Composites
Chemical vapor deposition
Voronoi diagram
Microstructure
Data Analysis, Statistics and Probability (physics.data-an)
Subjects
Details
- ISSN :
- 13596454
- Volume :
- 225
- Database :
- OpenAIRE
- Journal :
- Acta Materialia
- Accession number :
- edsair.doi.dedup.....ef847dbde3910c9ed578fbd658955dda