For research that has revolutionized the field of scanning probe microscopy, breaking new ground in atom-scale nanofabrication by combining scanning transmission electron microscopy with artificial intelligence and machine learning methods, and for his representation of ORNL as a fellow in numerous professional societies.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2020
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.
2001
For his internationally recognized accomplishments in high-energy physics, radiation transport, and detector and neutron target research and development.
For significant contributions and leadership in the processing and properties of materials, particularly intermetallic alloys, which have led to his reputation as one of the world's leading scientists in these areas.
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.
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