Tracing ash layers from explosive eruptions back to their source volcanoes is needed to evaluate hazards to population and aviation, a problem addressed by a new machine learning classification method.
Mineral compositions from numerous volcanic rocks that sample the mantle keel beneath Western Australia’s Kimberley Craton reveal the temperature and mineralogy that explain its long-lived stability.
New drone technology was combined with satellite and ground-based data to improve volcanic gas flux monitoring at the remote Bagana Volcano in Papua New Guinea.
While past attempts to define isotopic endmembers and assign them a geodynamic significance ended in controversy, a machine-learning clustering algorithm offers a solution to this classical problem.
Volcanic ground deformation is not simply correlated with erupted volume. Researchers propose that high concentrations of magmatic volatiles make systems more compressible and suppress deformation.
Thermodynamic calculations in multiphase, multicomponent magmatic systems can be slow and buggy. A new parallel architecture solves the free energy minimization problem much faster than alternatives.
A new cross-journal special collection invites contributions on modern approaches used to investigate dynamics of volcanic processes.
How big might future volcanic eruptions be? Crystals carry information to answer this and machine learning methods can visualize and interpret this multidimensional data.