For his role in conceiving, designing, and implementing novel geocomputational methods to help solve a wide variety of national and global problems in energy, the environment, and national security.
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Corporate Fellow Type
Year
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2011
For pioneering studies of the functionality of mesoporous oxides and carbons for real-world applications, ionic liquids for chemical separation and materials synthesis, and catalysis by nanomaterials.
2009
For far-reaching accomplishments on national security issues relating to nuclear weapons proliferation, security of nuclear materials, and counterterrorism.
2003
For fundamental investigations of the structure and dynamics of materials using X-ray diffraction, including pioneering nanosecond resolution X-ray studies and the development of three-dimensional X-ray structural microscopy with submicron resolution.
For the development of advanced X-ray focusing and microfocusing optics and three-dimensional X-ray microscopy, and for pioneering research on the atomic and mesoscale structure of materials.
2000
For distinguished research on the air/surface exchange of atmospheric trace gases and particles and their interactions with the Earth's biogeochemical cycles, and for pioneering developments in atmospheric sampling methodologies with special emphasis on the global mercury cycle.
1998
For international leadership in developing innovative therapeutic and diagnostic applications of radionuclides for nuclear medicine.
1996
For pioneering research in ecosystem theory, ecological modeling, error analysis, hierarchy theory, and landscape ecology and for the development of basic applications in risk assessment and regional environmental analysis.
1979
For contributions to nuclear data measurement, analysis, and applications, through determination and development of neutron-induced reaction cross sections, high-resolution neutron scattering, the nonlocal nuclear optical model, and uncertainty and covariance information