most citedCombining machine learning techniques, microanalyses and large geochemical datasets for tephrochronological studies in complex volcanic areas: new age constraints for the Pleistocene magmatism of Central Italy

50 citations · 72 across the 2 of their papers we have counts for

collaborators

2 papers

physics.geo-ph2017★ 50 cited

Combining machine learning techniques, microanalyses and large geochemical datasets for tephrochronological studies in complex volcanic areas: new age constraints for the Pleistocene magmatism of Central Italy

Maurizio Petrelli, Roberto Bizzarri, Daniele Morgavi +2

Characterization, correlation and provenance determination of tephra samples in sedimentary sections (tephrochronological studies) are powerful tools for establishing ages of depos…

physics.geo-ph2016★ 22 cited

Quantifying magma mixing with the Shannon entropy: application to simulations and experiments

D. Perugini, C. P. De Campos, M. Petrelli +3

We introduce a new quantity to petrology, the Shannon entropy, as a tool for quantifying mixing as well as the rate of production of hybrid compositions in the mixing system. The S…