[Coming soon in January 2022]
Wang Materials Group
@ McKetta Department of Chemical Engineering, The University of Texas at Austin
Computational Engineering of Optoelectronic Materials
Our group utilizes and deploys computational methods to engineer the optical, electronic, and transport properties of materials in energy sustainability technologies. Enabled by high performance computing (HPC), we seek to elucidate and predict the materials properties at the microscopic level using first-principles calculations, drive the exploration of novel materials platforms, and create strategies that directly couple to experiments. In particular, we look to understand and harness defects in materials for optoelectronic devices. Research in the group is highly interdisciplinary and draws upon fields such as chemical engineering, materials science, and solid-state physics.
Current research goals are focused on catalysis, energy conversion, and next-generation computing applications.
Throughout our research and teaching efforts, we strive to create and foster a diverse, equitable, and inclusive environment.
Current research goals are focused on catalysis, energy conversion, and next-generation computing applications.
Throughout our research and teaching efforts, we strive to create and foster a diverse, equitable, and inclusive environment.
Research Projects
Mixed transition metal systems
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Chemoselectivity in aqueous environments for
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Oxygen vacancies and electric fields in perovskites for neuromorphic computing
As conventional materials such as silicon are approaching quantum mechanical limits, a new paradigm beyond Moore’s law is needed. One promising solution is neuromorphic computing, which aims to develop devices based on our own brain capable of learning and making nuanced decisions. Neurons operate with up to a 1000 times smaller power dissipation compared to devices based on conventional semiconductors, and thus offer a sustainable model for the next-generation of computing infrastructure.
We study the migration of oxygen vacancies and how this changes in the presence of an external field in perovskite compounds as one way to achieve memristive behavior (i.e., the resistance depends on the previous state of the system). Perovskites offer fantastic compositional and structural variations, and will help elucidate fundamental aspects of metal-to-insulator transitions. Past relevant papers:
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Past Projects Gallery
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