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20162018
most citedSolving petrological problems through machine learning: the study case of tectonic discrimination using geochemical and isotopic data

112 citations · 520 across the 14 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

astro-ph.SR2017★ 28 cited

s-Processing from MHD-induced mixing and isotopic abundances in presolar SiC grains

S. Palmerini, O. Trippella, M. Busso +4

In the past years the observational evidence that s-process elements from Sr to Pb are produced by stars ascending the socalled Asymptotic Giant Branch (or AGB) could not be explai…

physics.geo-ph2017★ 38 cited

Experimental constraints on the rheology, eruption and emplacement dynamics of analog lavas comparable to Mercury's northern volcanic plains

Francesco Vetere, Stefano Rossi, Olivier Namur +6

We present new viscosity measurements of a synthetic silicate system considered an analogue for the lava erupted on the surface of Mercury. In particular, we focus on the northern…

physics.geo-ph2017★ 26 cited

Exponential Decay Of Concentration Variance During Magma Mixing: Robustness Of A Volcanic Chronometer And Implications For The Homogenization Of Chemical Heterogeneities In Magmatic Systems

Stefano Rossi, Maurizio Petrelli, Daniele Morgavi +4

The mixing of magmas is a fundamental process in the Earth system causing extreme compositional variations in igneous rocks. This process can develop with different intensities bot…

physics.geo-ph2017★ 55 cited

High spatial resolution trace element determination of geological samples by laser ablation quadrupole plasma mass spectrometry: implications for glass analysis in volcanic products

Maurizio Petrelli, Kathrin Laeger, Diego Perugini

Increasing the spatial resolution of Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) is a challenge in microanalysis of geological samples. Smaller sizes fo…

physics.geo-ph2017★ 112 cited

Solving petrological problems through machine learning: the study case of tectonic discrimination using geochemical and isotopic data

Maurizio Petrelli, Diego Perugini

Machine learning methods are evaluated to study the intriguing and debated topic of discrimination among different tectonic environments using geochemical and isotopic data. Volcan…

physics.geo-ph2017★ 31 cited

Water-enhanced interdiffusion of major elements between natural shoshonite and high-K rhyolite melts

Diego González-García, Harald Behrens, Maurizio Petrelli +4

The interdiffusion of six major elements (Si, Ti, Fe, Mg, Ca, K) between natural shoshonite and a high-K calc-alkaline rhyolite (Vulcano island, Aeolian archipelago, Italy) has bee…