PICO
The dynamics of magmatic systems are governed by complex, multiscale processes that span from melt generation in the mantle to magma transport, storage, and surface eruptions. These processes include fluid mechanics, thermodynamics, phase changes, and chemical and rheological interactions, which are coupled and operate over spatial scales from nanometres to kilometres and temporal scales from seconds to millions of years. Understanding such systems increasingly relies on computational approaches that integrate, interpret, and test insights from experimental and observational data.
At the same time, rapid advances in imaging, microscopy, and monitoring techniques are producing large, high-dimensional datasets across a wide range of scales and modalities. Visualisation and correlation methods are therefore becoming central to the modelling workflow, enabling meaningful comparisons between simulations, laboratory experiments, and natural observations, and facilitating the identification of patterns, structures, and emergent behaviour in complex magmatic systems.
This session brings together computational modelling, visualisation, and data correlation approaches applied to volcanic and magmatic processes across the GMPV domain. We invite contributions that develop, apply, or validate forward and inverse models, machine learning techniques, and other computational methods. We also welcome work demonstrating advanced 2D, 3D, and 4D visualisation, multiscale data integration, and cross-technique correlation, particularly where these approaches bridge scales and connect models with observations and experiments.
The session aims to provide a platform for in-depth technical exchange between researchers working on modelling, data analysis, and visualisation, strengthening links between computational, experimental, and observational communities within GMPV.
Társilo Girona