Tutorials ========================== Simple prediction ----------------- The notebook `Simple_prediction.ipynb `_ shows how you can perform predictions with the model. Peridotite ---------- The `Peridotite.ipynb `_ notebook showcases how for a particular composition, here peridotite, one can perform predictions at room and high pressure. It further shows how it is possible to query points at specific P-T conditions. Redox ----- The `Redox.ipynb `_ notebook shows how you can calculate the iron oxidation state given T and fO2 conditions, and make predictions as a function of it for four different geological melt compositions. Benchmark on SciGlass (full Database) ------------------------------------- The notebook `Benchmark.ipynb `_ provides an example of how to query SciGlass using GlassPy,a nd then benchmark gpvisc against GlassNet for instance on the phospho-alumino-silicate dataset. Check extrapolations -------------------- The notebook `Extrapolations.ipynb `_ shows how you can check if the model start extrapolating dangerously, by actually looking at the outputs of the three different provided models. Benchmark speed -------------------- The notebook `Speed_test.ipynb `_ allows benchmarking the speed of the GP and Greybox ANN models on your CPU and GPU. Comparison to Giordano et al. 2008 ------------------------------------ The notebook `Giordano2008_comparison.ipynb `_ shows a comparison between predictions made by the model from Giordano et al. (2008) and gpvisc, on the gpvisc database.