Our group will synthesize new inorganic materials to drive next-generation computing and energy systems. Using unexplored tuning parameters and diverse synthesis techniques, we will navigate complex thermodynamic and kinetic landscapes to grow single crystals of our desired compounds. We will then characterize the new materials' electronic, magnetic, and structural properties. Concurrently, we will work with theoretical tools, such as machine learning and DFT, to provide data-driven predictions of materials' stability and properties that we will test experimentally.
Group members will learn materials synthesis techniques, especially for single-crystal growth; will tune materials' physical, electronic, and magnetic properties; and will explore crystallography and magnetic order using diffraction and national lab beamlines. Initial projects will be centered around discovering magnetic materials relevant to spintronics and/or quantum computing and controlling structural and electronic properties during synthesis to secure and advance energy infrastructure.
Synthesize unexplored antiferromagnets/altermagnets for spintronics and characterize their electronic and magnetic tunability
Develop new synthetic techniques to control the structural properties of single crystals
Predict the stability of disordered compounds relevant to energy technology with machine learning and synthesize promising candidates
Explore the role of bonding geometry on electrical and thermal conductivity