Thermodynamic reassessment of the Au–Te system

Wang, Jianhua; Lu, Xiao-Gang; Sundman, Bo; Su, Xuping

doi:10.1016/j.jallcom.2005.05.038

Cited by 12 publications

(9 citation statements)

References 15 publications

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“…(4) is dropped in Eq. (11). This is because the configurational entropy is already addressed in kMC simulations as the total number of possible events.…”

Section: Kinetic Monte Carlo Implementationmentioning

confidence: 99%

A Kinetic Monte Carlo model for material aging: Simulations of second phase formation at Au/Bi2Te3 junction in oxygen environments

Zhou

Yang

2014

Journal of Applied Physics

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Electronic properties of semiconductor devices are sensitive to defects such as second phase precipitates, grain sizes, and voids. These defects can evolve over time especially under oxidation environments and it is therefore important to understand the resulting aging behavior in order for the reliable applications of devices. In this paper, we propose a kinetic Monte Carlo framework capable of simultaneous simulation of the evolution of second phases, precipitates, grain sizes, and voids in complicated systems involving many species including oxygen. This kinetic Monte Carlo model calculates the energy barriers of various events based directly on the experimental data. As a first step of our model implementation, we incorporate the second phase formation module in the parallel kinetic Monte Carlo codes SPPARKS. Selected aging simulations are performed to examine the formation of second phase precipitates at the eletroplated Au/Bi2Te3 interface under oxygen and oxygen-free environments, and the results are compared with the corresponding experiments.

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“…(4) is dropped in Eq. (11). This is because the configurational entropy is already addressed in kMC simulations as the total number of possible events.…”

Section: Kinetic Monte Carlo Implementationmentioning

confidence: 99%

A Kinetic Monte Carlo model for material aging: Simulations of second phase formation at Au/Bi2Te3 junction in oxygen environments

Zhou

Yang

2014

Journal of Applied Physics

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“…Despite the wealth of data compiled by Afifi et al (1988), construction of phase diagrams to represent observed assemblages in many tellurium-bearing systems remains difficult due to the lack of reliable thermodynamic data for some minerals. New data for the system Ag-Au-X (X=S, Se, Te) (Echmaeva and Osadchii, 2008) is thus welcome, as are improved thermodynamic data for the systems Au-Te (Wang et al, 2006), Au-Bi-Sb (Wang et al, 2007) or the systems Au-Bi and Ag-Au-Bi (Servant et al, 2006;Zoro et al, 2007), the last four allowing greater accuracy in modelling the critical system Au-Bi-Te (Wagner, 2007;Tooth et al, 2008;see below). Fundamental thermodynamic information for Se-bearing systems has also become available (e.g., Xiong, 2003;Akinfiev and Tagirov, 2006a;Osadchii and Echmaeva, 2007), allowing detailed modelling of, for example, selenide-bearing vein and VHMS deposits (Layton-Matthews et al, 2008) and unconformity-related and sandstone-hosted uranium deposits.…”

Section: Phase Systems and Constraints On Mineral Stabilitiesmentioning

confidence: 99%

Understanding gold-(silver)-telluride-(selenide) mineral deposits

et al. 2009

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as part of the epithermal deposit spectrum in his textbook "Mineral deposits". Telluride-enrichment is, however, observed in a far wider range of deposit types, e.g., Au-rich VMS deposits, porphyry Au(Cu) and Au skarns. In at least some of these, a proportion of the gold occurs as Au-(Ag)-tellurides, or as native gold/Au-minerals paragenetically tied with tellurides of other elements, notably bismuth. Despite their enrichment in Te, gold deposits formed under reducing conditions are generally not acknowledged as Au-telluride deposits, because the telluride-rich character is largely expressed through an abundance of Bi-telluride species, commonly stable together with native bismuth. Gold-Bi compounds, such as maldonite and/or jonassonite, contribute to the mineralogical balance of gold ore, instead of Au(Ag)-tellurides (Ciobanu et al., 2005). A modified definition of the term 'gold-telluride deposits' was thus proposed (Cook and Ciobanu, 2005) to encompass the genetic connotation given by the presence of tellurides other than those of Au-Ag. In a preface to a special issue of Mineralogy and Petrology, Ciobanu et al. (2006a) posed a series of questions concerning the 'how?' and 'why?' of gold-telluride deposit formation. They questioned some of the established thinking about how these deposits were understood, not because the ideas are wrong (on the contrary!), but to encourage debate, and look beyond the confines of what was known and which fitted well to certain epithermal deposits. Likewise, Cook and Ciobanu (2005) attempted to build a framework for the role of other types of hydrothermal systems in the generation of telluridebearing deposits, raising certain taboos about classification, alternative settings and deposition mechanisms, the role of tellurides in orogenic gold systems and skarns, and what studies of trace mineralogy could contribute to the broader ore genesis perspective? They stressed the need to expand thermodynamic databases and modelling of oreforming systems (Afifi et al., 1988; Zhang and Spry, 1994a; Simon et al., 1997) to cover a broader range of formation conditions, e.g., pH/eH variation vs. activity/fugacity of various aqueous/gas species in a hydrothermal system. Within a given deposit, telluride-rich ores can be precipitated either at the same site or separately from native gold ore, depending upon precipitation mechanisms and local setting. Contemporary perspectives (e.g., Cooke and McPhail, 2001) include a Te-rich source, generally magmatically-derived, transport of Te as aqueous/vapour species within hydrothermal fluid, and precipitation of Au-Ag-tellurides due to multistage boiling. In an epithermal-porphyry environment (<5 km), these vapours are transported at the upper part of the veins forming a lowgrade Au-Te cap on top of the main Au mineralisation underneath. Whereas this model fits some telluride-bearing Au deposits (e.g., Gold-(silver)-telluride (selenide) ores occur as epithermal orogenic and intrusion related deposits. Although Te and Se are chalcophile elements and share ...

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“…Note that we expect no Te accumulation, the maximum content being estimated to be as low as 0.15% 54 . 55 We turn now to the in situ TEM during the gold-seeded growth of ZnTe nanowires on two types of substrates, silicon and silicon carbide.…”

Section: Solid Nanoparticle Vs Liquid Nanodropletmentioning

confidence: 99%

Regulated dynamics with two-monolayer steps in vapor-solid-solid growth of nanowires

Bellet‐Amalric

Panciera²,

Patriarche³

et al. 2021

Preprint

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The growth of ZnTe nanowires and ZnTe-CdTe nanowire heterostructures is studied by in situ transmission electron microscopy. We describe the shape, and the change of shape, of the solid gold nanoparticle during vapor-solid-solid growth. We show the balance between one-monolayer and two-monolayer steps which characterizes the vapor-liquid-solid and vapor-solid-solid growth modes of ZnTe. We discuss the role of the mismatch strain and lattice coincidence between gold and ZnTe on the predominance of two-monolayer steps during vapor-solid-solid growth, and on the subsequent self-regulation of the step dynamics. Finally, the formation of an interface between CdTe and ZnTe is described.

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Thermodynamic reassessment of the Au–Te system

Cited by 12 publications

References 15 publications

A Kinetic Monte Carlo model for material aging: Simulations of second phase formation at Au/Bi2Te3 junction in oxygen environments

A Kinetic Monte Carlo model for material aging: Simulations of second phase formation at Au/Bi2Te3 junction in oxygen environments

Understanding gold-(silver)-telluride-(selenide) mineral deposits

Regulated dynamics with two-monolayer steps in vapor-solid-solid growth of nanowires

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