Solid-state and molecular synthesis of f-element and main group metal systems. Combining high-pressure conditions, synchrotron X-ray techniques and computational predictions to elucidate the electronic structure of new compounds with applications in energy transport and information storage.
Solid-state and materials chemistry with an emphasis on metastable compounds, electronic phase transitions, theory-guided materials design, electronic structure, development of synchrotron methods for imaging and spectroscopy, energy conversion and storage, and functional coatings.
Surface and interfacial phenomena, including charge transport in organic molecules, nanoparticle catalysis, semiconducting and 2D nanomaterials, plasmonics, tribology, "smart" surfaces, and self-organizing nanoscale materials for device applications.
Mechanistic-driven design and development of new sustainable, catalytic, and asymmetric transformations that can be adapted by the organic, organometallic, and bio(in)organic in the synthesis of medicinally-active compounds
Application of theoretical and computational methods to transition-metal reactions, especially those related to amyloid formation and enzymes, such as hydrogenases; to energy production and conversion, such as methane activation and water splitting; and to catalysis, especially involving non-innocent ligands.
The use of fluorescence spectroscopy of jet-cooled molecules and Fourier transform infrared (FT-IR) and laser Raman spectroscopies, along with quantum mechanical calculations to investigate the dynamics of conformational energy changes in electronic ground and excited states of molecules.
Spectroscopy, optical and scanning probe microscopies, materials science, nanoscience, focusing on optical behavior of nanoscale materials with applications in solar energy, photocatalysis, and more broadly, photochemistry and nanophotonics.
Experimental and computational mechanistic organic, organometallic, and bioorganic chemistry, with an emphasis on unusual mechanisms where standard chemical ideas do not account for experimental observations.
Machine learning models for chemistry, virtual materials discovery, cheminformatics, spectroscopy, computational and theoretical techniques for bridging large length and timescales, simulations of organic electronics and semipermeable membranes, energy storage materials.