Demystifying Material Data Sci — This course will introduce you to the basic foundational concepts and tools involved in the application of data science and informatics to problems in multiscale materials discovery, development, and deployment. Beginning with a general introduction for nonexperts, the course will include various hands-on tutorials and demonstrations of emergent open-source tools and approaches customized specifically for materials informatics. Specific focus will be on data accumulation, curation, and management; how to derive surrogate models for materials property predictions, design, and discovery across chemical spaces; multiscale modeling under uncertainty; and the extraction of high-fidelity, reduced-order, Process-Structure-Property (PSP) linkages that constitute the essential knowledge needed to support materials innovation efforts. Required prerequisite(s): Undergraduate background in materials science/engineering or related fields Recommended prerequisite(s): DL 0019M - Materials Data Sciences and Informatics Familiarity with the Polymer Genome platform
No prereqs
Taught by nobody this semester.