RocMLMs: predicting rock properties through machine learning models
This work investigates the feasibility of using pre-trained machine learning models to predict rock properties.
Recent posts
A comparison of heat flow interpolations near subduction zones
This work investigates methods for interpolating surface heat flow data near subduction zones.
Be10 in Arc Lavas
A lab exercise focusing on the nuances of analyzing data from open-source geochemical repositories.
Computing rates and distributions of rock recovery in subduction zones
This work investigates how many rocks get detached from subducting oceanic plates beneath convergent margins.