For contributions to the methodology for electronic structure calculations and in applications to diverse classes of materials.
Filter Corporate Fellows
Corporate Fellow Type
Year
- (-) 2009 (1)
- (-) 2008 (3)
- (-) 2005 (3)
- (-) 2003 (3)
- (-) 1997 (2)
- (-) 1992 (2)
- (-) 1990 (1)
- (-) 1989 (1)
- (-) 1986 (1)
- (-) 1985 (3)
- 2022 (1)
- 2020 (1)
- 2017 (1)
- 2016 (2)
- 2015 (2)
- 2014 (1)
- 2013 (2)
- 2012 (1)
- 2010 (1)
- 2007 (2)
- 2006 (1)
- 2004 (2)
- 2002 (2)
- 2001 (2)
- 2000 (1)
- 1999 (3)
- 1998 (2)
- 1996 (3)
- 1994 (2)
- 1991 (1)
- 1988 (2)
- 1987 (1)
- 1983 (2)
- 1979 (5)
- 1976 (2)
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2009
2008
For outstanding scientific, programmatic, and institutional contributions to ORNL in advanced computational structural mechanics and nuclear safety technologies.
For pioneering the application of chaos theory and nonlinear dynamics to energy technologies, including gas-fluidized beds, internal combustion engines, and pulsed combustion.
For pioneering research and distinguished contributions to the field of high-temperature superconductors, including fundamental materials science advances and technical innovations that enable commercialization.
2005
For research in the fields of astrophysics and supernova science.
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.
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.
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.