Important scientific progress has also been made in the last three decades in understanding multi-scale geochemical cycles and lithospheric processes, many of them relying on predictions made by equilibrium models (see recent reviews by Spear et al., 2016 Yakymchuk, 2017). In geology, equilibrium thermodynamics has proven to be powerful, notably serving as a physical basis for developing thermobarometric tools that have allowed definition of the large variety of lithospheric conditions recorded throughout Earth’s history ( Brown, 2007). This fundamental principle applies to systems that are in thermal, mechanical, chemical and radiative equilibrium. The concept of equilibrium thermodynamics has been widely applied for almost two centuries in diverse disciplines studying the transformations of matter and energy. Erik is an active member of the Theriak-Domino developers group and released the add-on Theriak_D for implementing thermodynamic analysis into geodynamic models. He is interested in the polymetamorphic evolution of the Central Metasedimentary Belt of the Canadian Grenville Province.
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computation of seismic velocities or mineral volumes and densities).
![equilibrium 3d software equilibrium 3d software](https://i.ytimg.com/vi/HbPVD_oG81Q/maxresdefault.jpg)
In particular, this involves the improvement of thermodynamic databases and modeling approaches (e.g. His research focuses broadly on the influence of metamorphic processes on the outcome of geodynamic models. He graduated from the University of Potsdam (Germany) with a doctoral degree in geosciences–geodynamics in 2014.
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He recently co-edited a volume of the Reviews in Mineralogy and Geochemistry series on petrochronology and is associate editor of Computers and Geosciences.Įrik Duesterhoeft is a lecturer at the Institute of Geosciences of the Kiel University (Germany).
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Pierre has contributed to the development of important tools for community use including the mapping software XMapTools as well as to the theory, technique and application of advanced petrological models. His work aims to understand the conditions and tempo of metamorphic processes by combining high-resolution geochemical analysis with thermodynamic modelling. He earned his PhD in geosciences from the University of Grenoble (France) in 2012. Pierre Lanari is a Research Associate at the Institute of Geological Sciences of the University of Bern (Switzerland). We argue that this is the case for most natural samples, even at high-temperature conditions, and that this natural complexity must be taken into consideration when applying equilibrium models. This technique provides a powerful alternative to traditional modeling tools and permits use of local bulk compositions for testing the assumption of local equilibrium in rocks that were not fully re-equilibrated during their metamorphic history. In the last section, we describe a new modeling strategy based on iterative thermodynamic models, integrated with quantitative compositional mapping. Both techniques are commonly applied to obtain thermobarometric estimates that is, to derive P– T (pressure–temperature) information to quantify the conditions of metamorphism.
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We demonstrate how important internal consistency is to this database, and show some of the advantages and pitfalls of the two main modeling strategies (inverse and forward modeling). A fundamental requirement to perform thermodynamic modeling is an internally consistent database containing standard state properties and activity–composition models of pure minerals, solid solutions, and fluids. This Perspectives contribution provides a review of the ingredients and recipes required for constructing models. Equilibrium thermodynamics has played a central role in this revolution, providing simultaneously a physico-chemical framework and efficient modeling strategies to calculate mineral stability relations in the Earth’s lithosphere (and beyond) as well as thermobarometric results. The astonishing progress of personal computer technology in the past 30 years as well as the availability of thermodynamic data and modeling programs have revolutionized our ability to investigate and quantify metamorphic processes.