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
2001
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.
1999
For pioneering accomplishments in the fields of global optimization, artificial neural networks, and high performance computing based on quantum devices.
1997
Greenbaum, the winner of the 1995 DOE Biological and Chemical Technologies Research Award, has done extensive experimental work in photosynthesis, the process by which green plants grow, and its application to renewable energy production.
For significant and fundamental achievements in laser-based chemical measurement techniques, such as single molecule detection in liquids, and pioneering the efforts in the development of microfabricated chemical instrumentation, including the laboratory on a chip concept.
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