Intersecting stacking faults in face-centered cubic lattices

The crystalline structure assembled out of charge-stabilized asymmetric dumbbell-like colloidal particles in ethyl alcohol by sedimentation has been probed using small-angle X-ray scattering with microradian resolution. The existence of plastic face-centered cubic crystals was inferred from the observed Bragg peaks. The presence of stacking faults and the mosaic structure of the sample lead to the appearance of diffuse scattering, forming Bragg scattering cylinders in the three-dimensional reciprocal space. The quality of the crystalline structure, as ascertained from a detailed analysis of the diffuse scattering intensity distribution, indicates the presence of only 1.5% of stacking faults between the hexagonal close-packed layers.

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The Determination of the Type of Stacking Faults in Face Centered Cubic Alloys by Means of Contrast Effects in the Electron Microscope

physica status solidi (b) ◽

10.1002/pssb.19630030413 ◽

1963 ◽

Vol 3 (4) ◽

pp. 697-711 ◽

Cited By ~ 69

Author(s):

A. Art ◽

R. Gevers ◽

S. Amelinckx

Keyword(s):

Electron Microscope ◽

Stacking Faults ◽

Face Centered Cubic ◽

Contrast Effects ◽

Face Centered

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Configurational density of states and entropy of alloys: A Monte Carlo approach on body‐centered cubic and face‐centered cubic lattices

The Journal of Chemical Physics ◽

10.1063/1.454818 ◽

1988 ◽

Vol 89 (7) ◽

pp. 4339-4345 ◽

Cited By ~ 13

Author(s):

C. Bichara ◽

J.‐P. Gaspard ◽

J.‐C. Mathieu

Keyword(s):

Monte Carlo ◽

Density Of States ◽

Face Centered Cubic ◽

Body Centered Cubic ◽

Monte Carlo Approach ◽

Cubic Lattices ◽

Face Centered

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Zero-Point Effects in Heisenberg Antiferromagnets with Arbitrary Range of Interaction

Canadian Journal of Physics ◽

10.1139/p72-393 ◽

1972 ◽

Vol 50 (23) ◽

pp. 2991-2996 ◽

Cited By ~ 2

Author(s):

M. F. Collins ◽

V. K. Tondon

Keyword(s):

Ground State ◽

State Energy ◽

Correction Term ◽

Zero Point ◽

Face Centered Cubic ◽

Heisenberg Antiferromagnet ◽

Body Centered Cubic ◽

Cubic Lattices ◽

Simple Cubic ◽

Face Centered

The ground state energy, spin-wave energy, and sublattice magnetization have been calculated for a Heisenberg antiferromagnet at the absolute zero of temperature. The treatment extends the earlier work of Anderson, Kubo, and Oguchi to apply for any two-sublattice antiferromagnet with arbitrary range of interaction. It is shown that for each exchange interaction there is a different characteristic correction term to the energies. Explicit calculations are made of these terms for the simple cubic, body-centered cubic, and face-centered cubic lattices, with both first- and second-neighbor interactions. Applications are also made to NiO and MnO. An extra term in the magnetization series beyond that given by earlier workers is derived.

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Protein tertiary structure prediction using hidden Markov model based on lattice

Journal of Bioinformatics and Computational Biology ◽

10.1142/s0219720019500070 ◽

2019 ◽

Vol 17 (02) ◽

pp. 1950007

Author(s):

Farzad Peyravi ◽

Alimohammad Latif ◽

Seyed Mohammad Moshtaghioun

Keyword(s):

Amino Acid ◽

Amino Acid Sequence ◽

Structure Prediction ◽

Tertiary Structure ◽

Hidden Markov ◽

Face Centered Cubic ◽

Tertiary Structure Prediction ◽

Cubic Lattices ◽

Face Centered ◽

Protein Tertiary Structure Prediction

The prediction of protein structure from its amino acid sequence is one of the most prominent problems in computational biology. The biological function of a protein depends on its tertiary structure which is determined by its amino acid sequence via the process of protein folding. We propose a novel fold recognition method for protein tertiary structure prediction based on a hidden Markov model and 3D coordinates of amino acid residues. The method introduces states based on the basis vectors in Bravais cubic lattices to learn the path of amino acids of the proteins of each fold. Three hidden Markov models are considered based on simple cubic, body-centered cubic (BCC) and face-centered cubic (FCC) lattices. A 10-fold cross validation was performed on a set of 42 fold SCOP dataset. The proposed composite methodology is compared to fold recognition methods which have HMM as base of their algorithms having approaches on only amino acid sequence or secondary structure. The accuracy of proposed model based on face-centered cubic lattices is quite better in comparison with SAM, 3-HMM optimized and Markov chain optimized in overall experiment. The huge data of 3D space help the model to have greater performance in comparison to methods which use only primary structures or only secondary structures.

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