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Journal ArticleDOI

Phenomenology of solid solubilities and ion-implantation sites: An orbital-radii approach

Vijay A. Singh, +1 more
- 15 Jan 1982 - 
- Vol. 25, Iss: 2, pp 907-922
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TLDR
The crossing points of the first-principles nonlocal screened atomic pseudopotentials of the elements were shown previously to constitute a sensitive anisotropic atomic-size scale that allows systematization of the crystal structure of as many as 565 binary compounds as mentioned in this paper.
Abstract
The crossing points of the first-principles nonlocal screened atomic pseudopotentials of the elements were shown previously to constitute a sensitive anisotropic atomic-size scale This scale allows systematization of the crystal structure of as many as 565 binary compounds A Zunger, [Phys Rev B 22, 5839 (1980)] In this paper we apply the same coordinates for systematizing the trends in the solid solubilities in the divalent solvents Be, Mg, Zn, Cd, Hg, and in the semiconductor solvents Si and Ge (192 data points), as well as the location of the ion-implantation sites in Be and Si (60 data points) We find that these nonempirical and atomic coordinates produce a systematization of the data that overall is equal to or better than that produced by the empirical coordinates of Miedema and Darken-Gurry which are derived from properties of the condensed phases Furthermore, it is found that the orbital-radii coordinates which incorporate directly the effects of only the $s$ and $p$ atomic orbitals are capable of predicting the solubility trends and ion-implantation sites even for the (nonmagnetic) transition atom impurities

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Citations
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Journal ArticleDOI

Atomic-size effect and solid solubility of multicomponent alloys

TL;DR: In this article, an effective atomic size parameter by considering atomic packing misfitting in multicomponent systems was proposed for high-entropy alloys, such as H-alloys, which defy the classic atomic size effect due to the absence of solvent and solute atoms.
Journal ArticleDOI

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

TL;DR: In this article, the authors present a review of the application of machine learning techniques to metal-organic frameworks (MOFs) in the field of gas storage and separation, the stability of these materials, their electronic properties, and their synthesis.
Book ChapterDOI

Electronic Structure of 3d Transition-Atom Impurities in Semiconductors

TL;DR: In this article, the authors present a review on the recent developments vis a vis the new experimental methodologies and the classical phenomenological approaches used earlier to understand deep 3D impurities.
Journal ArticleDOI

First-principles calculation of alloy phase diagrams: The renormalized-interaction approach

TL;DR: A formalism for calculating the temperature-composition phase diagrams of isostructural solid alloys from a microscopic theory of electronic interactions, predicting that such alloys will disproportionate at low-temperature equilibrium into the binary constituents, but if disproportionation is kinetically inhibited, some special ordered phases will be thermodynamically stabler below a critical temperature than the disordered phase of the same composition.
Journal ArticleDOI

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

TL;DR: It is shown that having so many materials allows us to use big-data methods as a powerful technique to study these materials and to discover complex correlations.
References
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Journal ArticleDOI

Ionicity of the Chemical Bond in Crystals

TL;DR: The role of quantum-mechanical sum rules and spectral moments in constructing simplified models of bond and band behavior is explored in this article, where a wide range of physical properties including crystal structure, energy bands, elastic constants, ionization energies, and impurity states are discussed.
Journal ArticleDOI

Solid solubilities of impurity elements in germanium and silicon

TL;DR: In this paper, the available data on solid solubilities of impurity elements in germanium and silicon are summarized in the form of solidus or solvus curves.
Journal ArticleDOI

Model predictions for the enthalpy of formation of transition metal alloys II

TL;DR: In this article, the authors present a computer program in Algol 60 by means of which enthalpy effects can be calculated for binary alloys in which at least one transition metal is involved.
Journal ArticleDOI

The electronegativity parameter for transition metals: Heat of formation and charge transfer in alloys

TL;DR: In this article, it is shown that the work function of a metal is proportional to the chemical potential for electrons in Wigner-Seitz atomic cells; the proportionality factor is found to be about 1·4.
Journal ArticleDOI

Empirical description of the role of electronegativity in alloy formation

TL;DR: In this article, it was shown that the heat of formation of metallic binary alloy systems is predominantly determined by the electronegativity difference, the difference in electronic density at the boundary of the atomic cell and the size difference.