Physics – Condensed Matter – Statistical Mechanics
Scientific paper
Sep 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006phrve..74c1103s&link_type=abstract
Physical Review E, vol. 74, Issue 3, id. 031103
Physics
Condensed Matter
Statistical Mechanics
7
Nonequilibrium And Irreversible Thermodynamics, Image Processing, Order-Disorder Transformations, Statistical Mechanics Of Model Systems, Metastable Phases
Scientific paper
The phase-field-crystal model [K. R. Elder and M. Grant, Phys. Rev. E 70, 051605 (2004)] produces multigrain structures on atomistic length scale but on diffusive time scales. Since individual atoms are resolved but are treated identically it is difficult to distinguish the exact position of grain boundaries and defects within grains. In order to analyze and visualize the whole grains a two-dimensional wavelet transform has been developed, which is capable of extracting grain boundaries and the lattice orientation of a grain relative to a laboratory frame of reference. This transformation makes it possible not only to easily visualize the multigrain structure, but also to perform exact measurements on low- and high-angle boundaries, grain size distributions and boundary-angle distributions, which can then be compared to experimental data. The presented wavelet transform can also be applied to results of other atomistic simulations, e.g., molecular dynamics or granular materials.
Singer H. M.
Singer Ivan
No associations
LandOfFree
Analysis and visualization of multiply oriented lattice structures by a two-dimensional continuous wavelet transform does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Analysis and visualization of multiply oriented lattice structures by a two-dimensional continuous wavelet transform, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis and visualization of multiply oriented lattice structures by a two-dimensional continuous wavelet transform will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-960752