| Dowman P. Varn Max-Planck-Institut fur Physik Komplexer Systeme Nothnitzer Strasse 38 01187 Dresden, Germany |
Geoffrey S. Canright Department of Physics and Astronomy University of Tennessee Knoxville, Tennessee 37996, USA and Telenor Research and Development 1331 Fornebu, Olso, Norway |
James P. Crutchfield Center for Computational Science and Engineering Physics DepartmenEngineering University of California, Davis One Shields Avenue Davis, CA 95616, USA |
ABSTRACT: We apply epsilon-machine spectral reconstruction theory to analyze structure and disorder in four previously published zinc sulphide diffraction spectra and contrast the results with the most common alternative theory, the fault model. In each case we find that the reconstructed epsilon-machine provides a more comprehensive and detailed understanding of the stacking structure, often detecting stacking structures not previously found. Using the epsilon-machines reconstructed for each spectrum, we calculate a number of physical parameters---such as configurational energies, configurational entropies, and hexagonality---and several quantities---including statistical complexity and excess entropy---that describe the intrinsic computational properties of the stacking