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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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2014
Jerry is recognized for distinguished research on the genetic basis of tree growth and development, including leading the international efforts to sequence, assemble, and annotate the genomes of poplar and eucalyptus bioenergy feedstocks.
2012
For environmental-effects research related to energy technologies and their use, focusing on the impacts of climate and atmospheric changes on the physiology, growth, and biogeochemical cycles of North American forest ecosystems.
For pioneering research and development of new materials for advanced energy technologies, including materials for (a) the storage of nuclear waste, (b) the solid-state generation of electrical power directly from heat, and (c) the lossless transport of electricity.
2007
For his pioneering contributions to the study of nonequilibrium systems, quantum magnetism, and excitations in condensed matter.
For his research on the effects of elevated levels of atmospheric carbon dioxide on terrestrial ecosystems.
2006
For his leadership in light-water reactor development, reactor safety, and the disposition of uranium waste.
For contributions to high-performance networking and multiple-sensor fusion and for developing a unifying theory of information fusion.
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.
1986
For contributions to advanced control systems for nuclear reactor, including development of control-system and plant protection technologies that permit automated start-up and operation; and to analysis techniques that have led to better understanding of reactor dynamics.