Energy & Photosynthesis
ASU students are world leaders in photosynthesis research and in the development of molecular solutions for energy capture, storage and conversion, are developing novel materials for battery, fuel cell and energy production technologies, and studying energy flow in geologic and biologic systems that do not rely on photosynthesis.
Protein structure and function, X-Ray crystallography, photosynthesis, bacterial cofactors
Computational Solid State Chemistry, Semiconductor Simulation, Vibrational and Optical Properties of Solids, Physisorption, Carbon Sequestration
Structural biochemistry and biophysics, membrane proteins, X-Ray crystallography, photosynthesis, molecular biology
Molecular modeling, biomolecular interactions and solvation, intermolecular vibrations, molecular crowding, complex formation and self-assembly
Bioinorganic chemistry, electrochemistry, hydrogenases, de novo protein design and engineering, redox enzyme mechanisms, alternative energy generation
Theoretical chemistry, condensed media, optical spectroscopy, electron transfer, proteins, phase and glass transition
Organic chemistry, materials chemistry, solar energy transduction, photocatalysis, molecular electronics, chemical sensing, proton coupled electron transfer
Photosynthesis, protonmotive force, proton and electron transfer, photochemistry, photobiology, bioenergy, biocatalysis, sustainable energy, dye sensitized semiconductors
Theoretical chemistry, nanoscience, electron transfer, molecular conductance, nanomagnetism, chirality
Photosynthetic electron transfer, protein-cofactor interactions, membrane protein degradation, re-engineering photosynthesis for energy and bioremediation
Microbe-Nanostructure Interactions, Biogenic Nanomaterials, Amorphous Nanomaterials, Materials Crystal Structure and Catalysis, Anoxygenic Photosynthesis, Sulfur Bacteria, Sulfate-Reducing Bacteria, Biogeochemistry, and Astrobiology
Design and assembly of biologically inspired nanomaterials, DNA nanostructures, nanoelectronics, biomolecular imaging