ML4SCM

machine learning for surface complexation modeling

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
.gitignore		.gitignore
01 - Python-PHREEQC IO.ipynb		01 - Python-PHREEQC IO.ipynb
02 - Uncertainty Quantification - Monte Carlo Simulations.ipynb		02 - Uncertainty Quantification - Monte Carlo Simulations.ipynb
03 - Sensitivity Analysis - Morris.ipynb		03 - Sensitivity Analysis - Morris.ipynb
04 - Sensitivity Analysis - Sobol.ipynb		04 - Sensitivity Analysis - Sobol.ipynb
05 - Parameter Estimation - Bayesian Sampling-Resampling.ipynb		05 - Parameter Estimation - Bayesian Sampling-Resampling.ipynb
Outputfile3.out		Outputfile3.out
PqcController.py		PqcController.py
PqcManager.py		PqcManager.py
PqcSettings.py		PqcSettings.py
README.md		README.md
UQ - Monte Carlo Simulations.ipynb		UQ - Monte Carlo Simulations.ipynb
U_HFO_input.txt		U_HFO_input.txt
U_HFO_input3.txt		U_HFO_input3.txt
llnl_Mahoney_updated.dat		llnl_Mahoney_updated.dat
llnl_Mahoney_updated.tpl		llnl_Mahoney_updated.tpl
writeIOphreeqc.py		writeIOphreeqc.py

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