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.
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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.
2009
For far-reaching accomplishments on national security issues relating to nuclear weapons proliferation, security of nuclear materials, and counterterrorism.
2004
For leadership and pioneering research in the fundamental effects of radiation on a broad range of metals and ceramics applicable to fission and fusion energy systems.
2002
For pioneering research in disturbance and landscape ecology and in modeling of land-use change with its implications for global changes, which have influenced environmental decision making on a worldwide scale.
For internationally recognized contributions in distributed and cluster computing, including the development of the Parallel Virtual Machine and the Message Passing Interface standard now widely used in science to solve computational problems in biology, physics, chemistry, and materials science.
1988
For advances in protein structure and enzyme mechanisms by use of affinity labeling and site-directed mutagenesis.
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