Pith. sign in

REVIEW 1 cited by

Diffraction Patterns of Layered Close-packed Structures from Hidden Markov Models

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1410.5028 v1 pith:QDAMRRO6 submitted 2014-10-19 cond-mat.mtrl-sci cs.ITmath.ITmath.STstat.TH

classification cond-mat.mtrl-scics.ITmath.ITmath.STstat.TH
keywords stackingcpsshmmsmodelsstructuresclose-packeddiffractionexpressions
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

We recently derived analytical expressions for the pairwise (auto)correlation functions (CFs) between modular layers (MLs) in close-packed structures (CPSs) for the wide class of stacking processes describable as hidden Markov models (HMMs) [Riechers \etal, (2014), Acta Crystallogr.~A, XX 000-000]. We now use these results to calculate diffraction patterns (DPs) directly from HMMs, discovering that the relationship between the HMMs and DPs is both simple and fundamental in nature. We show that in the limit of large crystals, the DP is a function of parameters that specify the HMM. We give three elementary but important examples that demonstrate this result, deriving expressions for the DP of CPSs stacked (i) independently, (ii) as infinite-Markov-order randomly faulted 2H and 3C stacking structures over the entire range of growth and deformation faulting probabilities, and (iii) as a HMM that models Shockley-Frank stacking faults in 6H-SiC. While applied here to planar faulting in CPSs, extending the methods and results to planar disorder in other layered materials is straightforward. In this way, we effectively solve the broad problem of calculating a DP---either analytically or numerically---for any stacking structure---ordered or disordered---where the stacking process can be expressed as a HMM.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes

    cond-mat.stat-mech 2019-08 conditional novelty 6.0 of 10

    Structured hidden-Markov processes can have exactly flat power spectra, so flat spectra cannot certify randomness; the paper characterizes, constructs, and demonstrates such processes.

Pith tools