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 · 50 across the 1 of their papers we have counts for

collaborators

1 paper

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…