This is the repository for the Materials Knowledge System (MKS) tutorial scheduled for 08/03/2017 at the CHiMaD Phase Field Workshop. The tutorial will explore materials informatics using the PyMKS package. The primary focus will be on demonstrating how PyMKS is used to create process-structure-property relationships. In no particular order the tutorial will try to cover some of the following (time permitting),
Decomposing microstructure into a digital signal
Quantifying microstructure using 2 point statistics
Learning from a Cahn-Hilliard simulation
Using Scikit-Learn to cross-validate results
Materials Knowledge Systems in Python—a Data Science Framework for Accelerated Development of Hierarchical Materials, D. B. Brough, D. Wheeler and S. R. Kalidindi; Integrating Materials and Manufacturing Innovation, 2017, vol. 6, issue 1, pp 36-52, doi:10.1007/s40192-017-0089-0.
See the PyMKS theory documentation.
For more details, please see the relevant GitHub repository.
Cite this work
Researchers should cite this work as follows:
Georgia Institute of Technology