For significant impacts to the fields of synthetic biology and biological interfaces, innovations in the use of chemistry and nanotechnology to develop a molecular mechanistic understanding of complex biological systems, and pioneering approaches in chemical imaging through integration with mass spectrometry-based detection.
Filter Corporate Fellows
Corporate Fellow Type
Year
- (-) 2021 (2)
- (-) 2013 (1)
- (-) 2007 (1)
- (-) 1976 (2)
- 2023 (4)
- 2022 (3)
- 2020 (5)
- 2017 (1)
- 2016 (3)
- 2015 (3)
- 2014 (2)
- 2012 (1)
- 2011 (2)
- 2010 (1)
- 2009 (2)
- 2008 (1)
- 2006 (2)
- 2005 (2)
- 2004 (1)
- 2003 (1)
- 2002 (2)
- 2001 (1)
- 1999 (1)
- 1998 (1)
- 1997 (2)
- 1996 (2)
- 1994 (2)
- 1992 (1)
- 1990 (1)
- 1989 (1)
- 1988 (1)
- 1987 (1)
- 1986 (1)
- 1985 (2)
- 1983 (1)
- 1979 (4)
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2021
For his pioneering efforts in silicon carbide–based power electronics, which have paved the way for vehicle and grid infrastructure advancements, enabling transformational achievements in wireless power transfer and electric drivetrain applications, and for the continuing significant impact his accomplishments will have on the global move toward the electrification and decarbonization of the mobility sector.
2013
For outstanding scientific impact in computational soft matter and nanoscience through cross-discipline collaboration to address materials problems and discover new functional materials
2007
For his research on the effects of elevated levels of atmospheric carbon dioxide on terrestrial ecosystems.
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