We use optical and electron spectroscopies to study electronic properties of strongly correlated materials. Those include high temperature superconductors, novel conventional superconductors and heavy fermion systems.
Microscopic characterization of magnetic and electronic properties of strongly correlated electron systems (low dimensional quantum spin system, nanoscale molecular magnets, Fe-based superconductors and related materials) by using Nuclear Magnetic
Synthesis, characterization and physical property measurements of polycrystalline and single crystal samples of materials with interesting properties and ground states, including cuprate and FeAs- based high temperature superconductors and related
Development of a theoretical understanding of the properties of disordered systems, photonic crystals, metamaterials, left-handed materials, random lasers, nonlinear systems, and amorphous semiconductors.
Quantum embedding approaches to simulate ground state and dynamical properties of correlated materials. Quantum computing and machine learning algorithms development. Ab initio quantum dynamics simulations of driven systems.
Assembly of nanocrystals(NCs) to synthesize new materials displaying unique structural, dynamical and thermodynamical properties, often reflecting deep underlying geometric, packing and topological constraints.
We utilize the concepts and methods of non-equilibrium statistical physics and multiscale modeling to develop predictive models and simulation algorithms for a range of physical, chemical, and materials systems.