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Vidvuds Ozolins is the Tom Steyer Kat Taylor Professor of Clean Energy Solutions at Yale University. He specializes in first-principles computational modeling of high-performance materials, developing theoretical methods based on quantum mechanical calculations utilizing density functional theory (DFT) and modern statistical simulation methods, including Monte Carlo and molecular dynamics. His main research themes integrate recent advances in applied mathematics and machine learning, aimed at creating rigorously automated high-throughput methods for material design. Ozolins' group focuses on the development of materials with exceptional technological properties, particularly in energy storage and generation, such as supercapacitors, batteries, and thermoelectric materials. He also explores the thermodynamic, structural, and dynamical properties of solids at high temperatures, spin liquid materials, and quantum computing. His work involves mathematical approaches that solve partial differential equations in materials science while exploiting the inherent sparsity of quantum mechanics.
A method for enhancing the solubility of boron in indium silicon.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.