School of Engineering
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Professor of Materials Science and Engineering and Senior Fellow, by courtesy, at the Precourt Institute for Energy
BioMike McGehee's primary research interests are developing new materials for smart windows and solar cells. He has taught courses on nanotechnology, nanocharacterization, organic semiconductors, polymer science and solar cells. He received his undergraduate degree in physics from Princeton University and his PhD degree in Materials Science from the University of California at Santa Barbara, where he did research on polymer lasers in the lab of Nobel Laureate Alan Heeger. He won the 2007 Materials Research Society Outstanding Young Investigator Award. He is a technical advisor to Next Energy, PLANT PV, and Sinovia and his former students have started more than ten companies.
Rick and Melinda Reed Professor in the School of Engineering and Senior Fellow, by courtesy, at the Precourt Institute for Energy
BioMcIntyre's group performs research on nanostructured inorganic materials for applications in electronics, energy technologies and sensors. He is best known for his work on metal oxide/semiconductor interfaces, ultrathin dielectrics, defects in complex metal oxide thin films, and nanostructured Si-Ge single crystals. His research team synthesizes materials, characterizes their structures and compositions with a variety of advanced microscopies and spectroscopies, studies the passivation of their interfaces, and measures functional properties of devices.
Postdoctoral Research Fellow, Materials Science and Engineering
BioArmantas Melianas received his PhD from Linköping University (Sweden) in 2017 for his work on time-resolved charge motion in organic solar cells. He joined Stanford on October 2017 as a recipient of the prestigious Wallenberg Foundation Postdoctoral Fellowship and is currently working on brain-like computing applications using organic semiconductors.
Associate Professor of Materials Science and Engineering and of Photon Science
BioMelosh's research is focused on developing methods to detect and control chemical processes on the nanoscale, to create materials that are responsive to their local environment. The research goal incorporates many of the hallmarks of biological adaptability, based on feedback control between cellular receptors and protein expression. Similar artificial networks may be achieved by fabricating arrays of nanoscale devices that can detect and influence their local surroundings through ionic potential, temperature, mechanical motion, capacitance, or electrochemistry. These devices are particularly suited as smart biomaterials, where multiple surface-cell interactions must be monitored and adjusted simultaneously for optimal cell adhesion and growth. Other interests include precise control over self-assembled materials, and potential methods to monitor the diagnostics of complicated chemical systems, such as the effect of drug treatments within patients.
Molecular materials at interfaces
Directed dynamic self-assembly
Controlling molecular or biomolecular assembly and behavior
Influence of local electronic, optical or thermal stimuli