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Dr. Kalidindi's research interests are broadly centered on designing the internal structure of materials, including composition, for optimal performance in selected applications. He identifies hybrid processing routes for material manufacture, employing a harmonious blend of experimental, theoretical, and numerical approaches to research. His interests include physics-based multi-scale models, crystal plasticity, crystallographic slip, deformation twinning, texture evolution, finite element models, and computational mechanics in materials science. He also focuses on microstructure-sensitive design, utilizing n-point statistics, microstructure hulls, property closures, and process networks. His work involves linking microstructure, property, and processing, as well as applying data analytics and materials knowledge systems through cyberinfrastructure for material innovation. Additionally, Dr. Kalidindi characterizes local anisotropic mechanical behavior in heterogeneous materials using spherical nanoindentation, extracting indentation stress-strain curves and investigating microstructure-property relationships in bone quality using techniques such as Raman spectroscopy.
Department of Computer Science: GRE scores are optional for Fall 2026.