The file(s) in the repository correspond to the source/analytic code used in: Petrelli M., Caricchi L., Perugini D. (2020). Machine Learning Thermo-Barometry: Application to Clinopyroxene-Bearing Magmas. JGR: Solid Earth. doi: https://doi.org/10.1029/2020JB020130 For details, please see the corresponding manuscript that descibes the study. The citation for this manuscript is available in a given release of the source code. For manuscripts that are listed as "submitted for publication" this means it was currently undergoing peer review when this source code was posted, and the full article may not be presently available
Data and computer code used to generate results for Keller et al. (2023) "Links between large igneou...
This repository contains data, code, and related artefacts supporting the following publication: "H...
The codes in this folder allow fitting abundance of fine regolith and thermal inertia of rocks to th...
Clinopyroxene Clinopyroxene Thermo-Chemo-Barometry models submitted to Computers & Geosciences journ...
For details, please see the corresponding manuscript that describes the study and readme txt in the ...
Dataset 1 Parent dataset of global mantle clinopyroxene compositions. Dataset 2 Labeled dataset for...
This online resource shows two archived folders: Matlab and Python, that contain relevant code for t...
No modifications to the main code. Addition of the complete supporting information for a new publica...
The physical and chemical properties of the Earth’s mantle govern the cause of natural disasters, su...
First release of MCMC inversions of trace and/or major elements from mantle-derived melts for the th...
This archive provides scripts related to the following publication: V. Tollenaar, H. Zekollari, S. ...
This dataset was prepared for the journal article entitled "On the prediction of critical heat flux ...
Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solu...
The development of analytical and computational techniques and growing scientific funds collectively...
Supporting information for the paper "Machine Learning Prediction of Critical Cooling Rate for Metal...
Data and computer code used to generate results for Keller et al. (2023) "Links between large igneou...
This repository contains data, code, and related artefacts supporting the following publication: "H...
The codes in this folder allow fitting abundance of fine regolith and thermal inertia of rocks to th...
Clinopyroxene Clinopyroxene Thermo-Chemo-Barometry models submitted to Computers & Geosciences journ...
For details, please see the corresponding manuscript that describes the study and readme txt in the ...
Dataset 1 Parent dataset of global mantle clinopyroxene compositions. Dataset 2 Labeled dataset for...
This online resource shows two archived folders: Matlab and Python, that contain relevant code for t...
No modifications to the main code. Addition of the complete supporting information for a new publica...
The physical and chemical properties of the Earth’s mantle govern the cause of natural disasters, su...
First release of MCMC inversions of trace and/or major elements from mantle-derived melts for the th...
This archive provides scripts related to the following publication: V. Tollenaar, H. Zekollari, S. ...
This dataset was prepared for the journal article entitled "On the prediction of critical heat flux ...
Data relating to codes published at https://github.com/scott-midgley/Machine-Learning-for-Solid-Solu...
The development of analytical and computational techniques and growing scientific funds collectively...
Supporting information for the paper "Machine Learning Prediction of Critical Cooling Rate for Metal...
Data and computer code used to generate results for Keller et al. (2023) "Links between large igneou...
This repository contains data, code, and related artefacts supporting the following publication: "H...
The codes in this folder allow fitting abundance of fine regolith and thermal inertia of rocks to th...