For outstanding scientific impact in computational soft matter and nanoscience through cross-discipline collaboration to address materials problems and discover new functional materials
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2013
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.
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.
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.
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.
1979
For advances in neutron and gamma-ray dosimetry, the transport of electricity through gases, and the development of laser-based one-atom detection with applications in nuclear physics, solar neutrino research, and oceanic, geologic, and environmental research
For research on the processes involved in the induction of mutations, elucidating the roles and sequences of DNA repair and replication in converting radiation or chemical damage into mutations, and for contributions to the understanding of biological control mechanisms at the cellular level