For her advancement of the scientific underpinnings of mass spectrometry as well as collection technologies and strategies with a focus on nuclear nonproliferation.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2023
For her contributions to the development and application of advanced electron microscopy techniques for the study of a broad range of energy and quantum materials.
For his fundamental and translational research including development of leading systems, processes, sensors and controls.
For his scientific and technology contributions to Earth system model development and applications, significantly improving predictions of how terrestrial ecosystems respond to climate change.
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.
2007
For his research on the effects of elevated levels of atmospheric carbon dioxide on terrestrial ecosystems.
2003
For outstanding contributions to the field of applied computer vision research and development that address important national interests in industrial and economic competitiveness, biomedical measurement science, and national security.
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
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