PICO
The dynamics of magmatic systems are driven by complex processes that span from deep mantle melt generation to surface eruptions. These processes include: melt generation in the upper mantle and lower crust, magma transport, differentiation and emplacement in the crust, complex melt-rock interactions, genesis of energy and mineral resources, and volcanic extrusions with related hazards. Such fluid-mechanical and thermo-chemical processes emerge at sub-millimetre to kilometre scales and second to million-year times, and involve different phases, such as liquid melt, solid crystals, volatile fluids, and pyroclasts. Understanding these processes requires a multidisciplinary approach, combining observations, experiments, and computational methods including forward and inverse modelling and machine learning.
Despite the crucial role of computational methods in integrating and interpreting data from various sources, there has been limited progress in establishing a dedicated community within volcanic, petrology, and magmatic studies. This session aims to address this gap by focusing on computational approaches applied to these areas. We seek to bring together researchers working on forward and inverse modelling, machine learning, and other computational methods to foster a thriving community which complements well established observational and experimental communities.
We encourage contributions that explore the theory, application, and validation of computational approaches in the context of experimental and observational data. Topics of interest include, but are not limited to:
- Multiphase flow dynamics
- Thermodynamics and phase equilibria
- Magma transport and storage
- Chemical and rheological melt-rock interactions
- Crystallization and degassing processes
- Energy and mineral resource genesis
- Magma-hydrothermal interactions
- Eruption dynamics and hazards
This session aims to provide a platform for in-depth technical discussions that are challenging to facilitate in broader multidisciplinary sessions, ultimately fostering a stronger computational community within volcanic and magmatic studies.
Társilo Girona