Stress Annealing Induced Diffuse Scattering from Ni3 (Al, Si) Precipitates

Barabash, Rozaliya; Ice, Gene E.; Karapetrova, Evgenia; Zschack, P.

doi:10.1007/s11661-011-0937-z

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…The strongly distorted volume around the loop is of the order of ∼R 2 0 . Close to the reciprocal lattice point for q 1 R 0 √ QB , strong so-called Huang scattering is observed (Barabash et al, 2012), given by:…”

Section: Small Dislocation Loopsmentioning

confidence: 99%

Diffraction Analysis of Defects: State of the Art

Barabash

Ice

2014

Strain and Dislocation Gradients From Diffraction

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Materials'properties are largely determined by the self-organization and collective behavior of defects. A number of X-ray methods including Laue microdiffraction, rocking curve measurements and reciprocal space mapping can be used to characterize mesoscale dislocation structures and elastic strain. This chapter describes how dislocations and other common defects cause local strain field fluctuations and alter the structure factors of the cells in which they occur, as well as in neighboring cells. These changes alter the diffraction conditions in reciprocal space, and result in characteristic features in the diffracted intensity. These diffraction features can be used to model the local strain and dislocation structure of advanced materials. Different dislocation arrangements are considered such as: randomly distributed statistically stored dislocations (SSDs) and geometrically necessary dislocations (GNDs); dislocation loops; dislocation dipoles; dislocation boundaries including incidental dislocation boundaries (IDBs) and geometrically necessary boundaries (GNBs). The impact of twins is also discussed.

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Section: Small Dislocation Loopsmentioning

confidence: 99%

Diffraction Analysis of Defects: State of the Art

Barabash

Ice

2014

Strain and Dislocation Gradients From Diffraction

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“…Figure S8 (Supporting Information) also shows ΔI(q)q 2 vs q which subtracts the before time zero measurement from all positive delays, only showing the transiently induced diffuse scattering signal component. Plotting I(q)q 2 vs q, known as a Kratky plot, [43,44] captures the q-dependence of the transient diffuse scattering, important to understand the spatial properties of the local structural deformations. Previously, Kratky plots have been used to investigate solid clusters and defects in radiation-damaged materials.…”

Section: Resultsmentioning

confidence: 99%

Sub‐Nanosecond Reconfiguration of Ferroelectric Domains in Bismuth Ferrite

Guzelturk,

Yang,

Liu

et al. 2023

Advanced Materials

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Domain switching is crucial for achieving desired functions in ferroic materials that are used in various applications. Fast control of domains at subnanosecond timescales remains a challenge despite its potential for high‐speed operation in random‐access memories, photonic, and nanoelectronic devices. In this work, ultrafast laser excitation is shown to transiently melt and reconfigure ferroelectric stripe domains in multiferroic bismuth ferrite on a timescale faster than 100 ps. This dynamic behavior is visualized by picosecond‐ and nanometer‐resolved X‐ray diffraction measurements as well as time‐resolved X‐ray diffuse scattering. The disordering of stripe domains is attributed to the screening of depolarization fields by photogenerated carriers resulting in the formation of charged domain walls, as supported by phase field simulations. Furthermore, the recovery of disordered domains exhibits subdiffusive growth on nanosecond timescales, with a nonequilibrium domain velocity reaching up to 10 m/s. These findings present a new approach to image and manipulate ferroelectric domains on subnanosecond timescales, which can be further extended into other photoferroic systems to modulate their electronic, optical, and magnetic properties beyond GHz frequencies. This approach could pave the way for high‐speed ferroelectric data storage, computing and photonic applications in a range of photoferroics, and, more broadly, defines new approaches for visualizing the non‐equilibrium dynamics of heterogeneous and disordered materials.This article is protected by copyright. All rights reserved

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“…Patterns displaying this kind of behaviour are much rarer in practice since it requires that structural distortions involve dilation or contraction rather than a shearing of the local environment. There are, however, some examples where this type of distortion seems to be the case, for example in In doped GaAs [14] and in stress annealed Ni-Al-Si alloys [15].…”

Section: Discussionmentioning

confidence: 99%

Hexagonal paracrystals

Welberry

2014

Zeitschrift Für Kristallographie - Crystalline Materials

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Spatially interacting Gaussian random variables arranged on a hexagonal lattice are used to construct examples of hexagonal paracrystals. As for previously described paracrystals on a square lattice the distributions may be specified by a variance, 2 , L σ defining the magnitude of the displacement away from the underlying perfect lattice together with parameters defining transverse and longitudinal correlations (ρ T and ρ L ) between neighbouring displacements. A strong longitudinal correlation indicates a small variation from cell to cell in the length of the cell edge whereas a strong transverse correlation indicates a small variation in the cell edge direction. For values of σ L > ∼0.30 of the unit cell spacing the diffraction patterns contain diffuse peaks only with no evidence of Bragg peaks arising from the underlying regular lattice.

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Stress Annealing Induced Diffuse Scattering from Ni3 (Al, Si) Precipitates

Cited by 5 publications

References 30 publications

Diffraction Analysis of Defects: State of the Art

Diffraction Analysis of Defects: State of the Art

Sub‐Nanosecond Reconfiguration of Ferroelectric Domains in Bismuth Ferrite

Hexagonal paracrystals

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