For his innovation in the production and application of medical isotopes; for advancing the separation and purification of actinides and heavy elements; and for his leadership in the use of alpha emitters to save the lives of cancer patients.
Filter Corporate Fellows
Corporate Fellow Type
Year
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2016
For his broad scientific contributions and international reputation in aqueous chemistry and geochemistry; for his research into the structure, dynamics, and reactions at fluid–solid interfaces; and for his leadership and service to ORNL and the international scientific community.
2014
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.
2009
For contributions to the methodology for electronic structure calculations and in applications to diverse classes of materials.
2006
For his leadership in light-water reactor development, reactor safety, and the disposition of uranium waste.
2002
For forefront studies of the fundamental science of actinide elements, through mendelevium, which employ novel experimental techniques, make systematic comparisons, and emphasize the role of the elements' electronic configurations.
1999
For pioneering accomplishments in the fields of global optimization, artificial neural networks, and high performance computing based on quantum devices.
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