RocMLMs: predicting rock properties through machine learning models
This work investigates the feasibility of using pre-trained machine learning models to predict rock properties.
This work investigates the feasibility of using pre-trained machine learning models to predict rock properties.
This work investigates methods for interpolating surface heat flow data near subduction zones.
This work investigates how many rocks get detached from subducting oceanic plates beneath convergent margins.
This work involved input from many individuals during a pre-conference workshop at the Goldschmidt meeting in Honolulu.
This study investigates mechanical coupling at oceanic-continental convergent margins via numerical geodynamic simulation.
This field-based study examined the exhumation history of the Tso Morari nappe in NW India.
Adding shear heating to thermal models simultaneously reproduces surface heat flow and the P–T conditions of exhumed metamorphic rocks.
This work investigates methods for interpolating surface heat flow data near subduction zones.
This work investigates how many rocks get detached from subducting oceanic plates beneath convergent margins.
This study investigates mechanical coupling at oceanic-continental convergent margins via numerical geodynamic simulation.
This field-based study examined the exhumation history of the Tso Morari nappe in NW India.
Adding shear heating to thermal models simultaneously reproduces surface heat flow and the P–T conditions of exhumed metamorphic rocks.
This work involved input from many individuals during a pre-conference workshop at the Goldschmidt meeting in Honolulu.
A lab exercise focusing on the nuances of analyzing data from open-source geochemical repositories.
A lab exercise focusing on the nuances of analyzing data from open-source geochemical repositories.
This work investigates the feasibility of using pre-trained machine learning models to predict rock properties.