Titlebook: Applied Mineralogical Thermodynamics; Selected Topics Niranjan D. Chatterjee Textbook 1991 Springer-Verlag Berlin Heidelberg 1991 Kristallc

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Derivation of an Internally Consistent Thermodynamic Dataset by Mathematical Programming,amic dataset based . on calorimetry seldom allows computation of phase diagrams sufficiently accurate for geochemical applications. Nevertheless, calorimetry is, and will remain, the fundamental source of thermodynamic data, even if such data need to be fine-tuned for further use. The preceding chap

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Phase Equilibria Involving Nonideal Solutions and Outlines of Geothermometry and Geobarometry,l potentials of the components in any phase, solid or fluid, are readily computed at any pressure, temperature, and composition. The knowledge of the chemical potentials sets the stage for the computation of phase diagrams comprising nonideal solutions. A phase diagram predicted from thermodynamic d

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Phase Relations Among End-Member Solids and a Binary Fluid Mixture,e of the fluid mixtures of relevance to geochemistry has been a centerpiece of activity for about a decade (Holloway 1977; Jacobs and Kerrick 1981a,b; Kerrick and Jacobs 1981; Bowers and Helgeson 1983; Saxena and Fei 1988). The availability of these data has promoted our ability to predict mixed-volatile reactions with confidence.

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Thermodynamics of Crystalline Solutions,s. Our treatment focuses on the thermodynamics of simple crystalline solutions (defined below). Its extension to complex crystalline solutions will be somewhat cursory, and order-disorder phenomena, observed in numerous minerals, will be barely touched. Readers interested in such topics may find the monograph by Ganguly and Saxena (1987) helpful.

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,Abkürzungen und Formelzeichnen,of their equilibration. What thermodynamics cannot do is to tell us how long a quenched mineral assemblage is likely to survive once it is outside its field of stability, or what the mechanism of a certain mineral reaction will be. Such questions — geologically of equal importance — can be answered by kinetics, a subject not treated in this book.

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Derivation of an Internally Consistent Thermodynamic Dataset by Mathematical Programming,etry must give us a thermodynamic dataset best suited to accomplish our goal of computing precise phase diagrams. A thermodynamic dataset, compatible with calorimetry and reaction reversals alike, is called an internally consistent thermodynamic dataset.

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