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microstructure-optimization-ml

Microstructure optimization of constrained design objectives using machine learning based feedback aware data generation

Requirements

  • MATLAB 9.2.0.556344 (R2017a)
  • Python 2.7.1 or above
  • Scikit-Learn 0.19.1

Citation

If you use this code or data, please cite:

A. Paul, P. Acar, W. Liao, A. Choudhary, V. Sundararaghavan and A. Agrawal. Microstructure Optimization with Constrained Design Objectives using Machine Learning-Based Feedback-Aware Data-Generation. Journal of Computational Materials Science, 2019

Developer Team & Collaborators

The code was developed by the CUCIS group at the Electrical and Computer Engineering Department in Northwestern University.

  1. Arindam Paul (arindam.paul@eecs.northwestern.edu)
  2. Ankit Agrawal (ankitag@eecs.northwestern.edu)
  3. Wei-keng Liao (wkliao@eecs.northwestern.edu)
  4. Alok Choudhary (choudhar@eecs.northwestern.edu)

The development team would like thank the collaborators Prof. Pinar Acar at Virginia Tech and Prof. Veera Sundararaghavan.

Questions/Comments:

email: arindam.paul@eecs.northwestern.edu or ankitag@eecs.northwestern.edu

Copyright (C) 2019, Northwestern University.

See COPYRIGHT notice in top-level directory.

Funding Support

This work is supported primarily by the AFOSR MURI award FA9550-12-1-0458. Partial support is also acknowledged from the following grants: NIST award 70NANB14H012; NSF award CCF-1409601; DOE awards DE-SC0007456, DE-SC0014330; and Northwestern Data Science Initiative.

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