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Materials Knowledge System in Python

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Investigate the efficiency of the new release for both homogenization and localization using a large data set. Include at lease on example that requires downloading large data and running it...

task

Rename pymks to - MatML (already taken by another package I think) - Ma-di ??? (Microstructure descriptors ???) - MatMaL (Materials Machine Learning) or MatMaLe - MiDeE [mi-di] - Microstructure...

task

Try out Hypothesis testing, https://hypothesis.readthedocs.io/en/latest/index.html

enhancement

Composite material consists of three components: the fibers as the discontinuous or dispersed phase, the matrix as the continuous phase, and. the fine interphase region, also known as the interface...

enhancement

https://rapids.ai/dask.html

enhancement

Code for plotting correlations with pyvista ``` import pyvista as pv import numpy as np pv.set_plot_theme("document") data = np.load('corr.npy') print(data.shape) values = data[0, :22, :22, :22, 4] # Create the...

enhancement

I just wanted to discuss the memory usage issue with [ this ](https://github.com/beyucel/pymks/blob/adtLarge/notebooks/Updated_Bigdata_prob.ipynb) notebook. When chunk size is above 25 ( >250 mb), a single worker gets to 6.3 GB...

question

Correlations cannot be masked. This is essential such that low confidence microstructure information can be excluded from n-point statistics calculation.

enhancement