The Materials Knowledge System in Python


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v0.3.4
  • win-32  v0.3.4
  • win-64  v0.3.4
  • osx-64  v0.3.4
To install this package with conda run one of the following:
conda install -c conda-forge pymks
conda install -c conda-forge/label/cf201901 pymks
conda install -c conda-forge/label/cf202003 pymks


The Materials Knowledge Systems (MKS) is a novel data science approach for solving multiscale materials science problems. It uses techniques from physics, machine learning, regression analysis, signal processing, and spatial statistics to create processing-structure-property relationships. The MKS carries the potential to bridge multiple length scales using localization and homogenization linkages, and provides a data driven framework for solving inverse material design problems. The Materials Knowledge Materials in Python (PyMKS) framework is an object-oriented set of tools and examples, written in Python, that provide high-level access to the MKS framework for rapid creation and analysis of structure-property-processing relationships.

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