Since 2001, Mike Simpson has been a group leader for the Nanofabrication Research Laboratory and theme leader in the Center for Nanophase Materials Sciences. His research focus includes noise biology, nano-enabled synthetic biology and controlled synthesis and directed assembly of carbon nanostructures.
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Corporate Fellow Type
Year
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2014
2009
For contributions to the methodology for electronic structure calculations and in applications to diverse classes of materials.
2005
For studies of the electronic structure of molecules, computational chemistry, and high-performance algorithms and computing.
For developments in biomedical engineering and biotechnology, micromechanical devices, and nanoscale imaging and detection.
1989
For basic studies in the fracture of and toughening mechanisms in ceramics and ceramic composites, in the establishment of the relationships between microstructure and composition and mechanical behavior, and in the development of advanced ceramic materials.
1987
For fundamental studies in radiation physics and dosimetry, in research to link the basic physics and chemistry of biological molecules irradiated in aqueous solution, and the physicochemical characterization of chemical pollutants
1986
For contributions to understanding plasma turbulence and the nonlinear properties of magnetohydrodynamic instabilities, especially their role in explaining the behavior of magnetically confined plasmas, and for development of new magnetic confinement concepts that overcome these limitations.
1976
For contributions to the development of new concepts and advanced systems for power generation and conversion, through innovative designs of nuclear reactors for aircraft propulsion and space auxiliary power and concepts for thermonuclear fusion reactor power plants
For research extending the theoretical description of direct nuclear reactions and nuclear structure, as one of the first theorists to implement the much more refined and detailed treatment of experimental data made possible by computers