1968
DOI: 10.1016/0079-6425(68)90019-4
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Binding of solute atoms to dislocations

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Cited by 61 publications
(26 citation statements)
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“…Since the In atom is larger than the host Ga atom, it is expected that if the In atoms are sufficiently mobile during growth, then they will segregate to the tensile part of the dislocation strain field 18 .…”
mentioning
confidence: 99%
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“…Since the In atom is larger than the host Ga atom, it is expected that if the In atoms are sufficiently mobile during growth, then they will segregate to the tensile part of the dislocation strain field 18 .…”
mentioning
confidence: 99%
“…In the case of a single In atom in GaN, a binding energy can be defined which is the difference in energy between the In atom at an bulk-like site compared to a site close to the dislocation core. If this binding energy is greater than approximately 1-2kT 18 , it is thought that segregation would not occur. Our calculations show that the limiting radius beyond which the binding energy would be too low is approximately 18 Å for an (a+c)-type core, well within our cut-off radius.…”
mentioning
confidence: 99%
“…For an edge dislocation, compressive and tensile strains produce areas that are depleted and enhanced with solute concentration-a "Cottrell atmosphere." 8 Cottrell atmospheres produce timedependent strengthening mechanisms like strain-aging in steels and the Portevin-Le Chatelier effect in aluminum alloys, 9 and the rearrangement of hydrogen from dislocation strain fields affects dislocation interactions. 10 The dislocation core-where the continuum description of the strain fields breaks down-provides the largest distortions in geometry and the attraction of solutes to this region is crucial for solute effects on strength.…”
mentioning
confidence: 99%
“…Those models generally employ two mechanisms to describe the yield strength: a strengthening by grain size reduction, the Hall-Petch effect, and the alloying elements' contribution to the material's strength [15,36,37]. Many of those models have used databases with significant amounts of different alloys to employ a linear regression in order to get parameters that determine the effect of alloying elements on the yield strength of the austenitic steel.…”
Section: Methodsmentioning
confidence: 99%