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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 · 395 across the 10 of their papers we have counts for

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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…