Data Science Informatics — This course will introduce emerging opportunities in the application of data science and informatics concepts to problems in multiscale materials discovery, development, and deployment. The material will include a general introduction for non-experts, as well as tutorials and demonstrations of specialized tools and approaches designed specifically for materials informatics. The foci will be on data accumulation, curation, and management; deriving 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.
No prereqs
Taught by nobody this semester.