This poster describes results associated with a project for
the National Science Foundation, grant # 1148011. It was prepared for a PIs meeting on
2018-04-30. The primary results are
<p>•The Materials Simulation Toolkit (MAST) for high-throughput
defect and diffusion modeling</p>
<p>•A Machine Learning extension (MAST-ML) to rapidly generate
machine learning models from materials data.</p>
<p>•Online defect and diffusion analysis apps on MaterialsHub.</p>
<p>•The world’s largest computed and machine learning enhanced
diffusion database with easy online search.</p>
<p>•Valuable research results using these tools and data, e.g.
new fuel cell materials.</p>
<p>•Workforce training through the Informatics Skunkworks,
an undergraduate materials informatics group.</p