2023: McLean Trott

As the lead author of the most outstanding scientific publication in our journal Geochemistry: Exploration, Environment, Analysis for the paper entitled: “Alteration assemblage characterization using machine learning applied to high-resolution drill-core images, hyperspectral data and geochemistry” by McLean Trott, Cole Mooney, Shervin Azad, Sam Sattarzadeh, Britt Bluemel, Matthew Leybourne, and Daniel Layton-Matthews.

This important paper demonstrates a machine learning workflow to comprehensively structure and integrate composition, alteration mineralogy and texture of a rock mass derived from structured (i.e. geochemical) and unstructured (i.e. photographic) datatypes to holistically represent rock character and predict alteration.

Trott, M., Mooney, C., Azad, S., Sattarzadeh, S., Bluemel, B. Leybourne, M., and Layton-Matthews, D. 2023. Alteration assemblage characterization using machine learning applied to high-resolution drill-core images, hyperspectral data and geochemistry. Geochemistry: Exploration, Environment, Analysis, 23(4). https://doi.org/10.1144/geochem2023-032