Inferring planar disorder in close-packed structures via ε-machine spectral reconstruction theory: Structure and intrinsic computation in zinc sulphide Dowman P. Varn Max-Planck-Institut für Physik komplexer Systeme Santa Fe Institute Department of Physics and Astromony, University of Tennessee, Knoxville Geoffrey S. Canright Telenor Research and Development Department of Physics and Astronomy, University of Tennessee, Knoxville James P. Crutchfield Computational Science & Engineering Center & Physics Department, University of California, Davis Santa Fe Institute Abstract: We apply e-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 ε-machine provides a more comprehensive and detailed understanding of the stacking structure, often detecting stacking structures not previously found. Using the ε-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 structures. A copy of this paper in pdf format: Inferring planar disorder in close-packed structures via ε-machine spectral reconstruction theory: Structure and intrinsic computation in zinc sulphide Publisher's web site: Acta Crystallographica Section B: Structural Science Citation: D.P. Varn, G. S. Canright and J.P. Crutchfield, Acta Crystallogr., Sec B: 63 (2007) 169-182. Referee Reports