2008
DOI: 10.1080/10408430801907649
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Thermodynamics of Grain Boundary Segregation and Applications to Anisotropy, Compensation Effect and Prediction

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Cited by 75 publications
(51 citation statements)
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“…Moreover, AES data measured in different samples (for example, annealed at various temperatures) reflect the behavior of different grain boundaries. Such data should be neither compared nor used to determine thermodynamic characteristics of grain boundary segregation (enthalpy and entropy) because such values are "effective" without physical meaning [3,15]. Similarly, temperature dependence of average grain boundary concentrations measured in differently concentrated M-I alloys (item (ii)) provides us with effective values of segregation enthalpy and entropy (e.g.…”
Section: Reliability Of Quantified Aes Datamentioning
confidence: 99%
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“…Moreover, AES data measured in different samples (for example, annealed at various temperatures) reflect the behavior of different grain boundaries. Such data should be neither compared nor used to determine thermodynamic characteristics of grain boundary segregation (enthalpy and entropy) because such values are "effective" without physical meaning [3,15]. Similarly, temperature dependence of average grain boundary concentrations measured in differently concentrated M-I alloys (item (ii)) provides us with effective values of segregation enthalpy and entropy (e.g.…”
Section: Reliability Of Quantified Aes Datamentioning
confidence: 99%
“…This ratio technique is very useful, however, its interpretation has to be done correctly (e.g. [3,8]). A serious problem with application of the data on grain boundary segregation may also occur when the AES results are incorrectly treated.…”
Section: Reliability Of Quantified Aes Datamentioning
confidence: 99%
See 3 more Smart Citations