For his seminal work on elucidating key molecular-scale mechanisms that govern biogeochemical transformation of contaminants, trace metals, and natural organic matter, which has made significant contributions to the understanding of natural organic and metal cycling in terrestrial ecosystems and remediation of contaminated sites, and also for his contributions to the development of the next generation of scientists and engineers.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2017
2013
For outstanding scientific leadership in nuclear physics and foundational work in developing and applying nuclear density functional theory to atomic nuclei
For outstanding leadership and pioneering research in climate and the environmental sciences
2005
For research in the fields of astrophysics and supernova science.
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.
2001
For his internationally recognized accomplishments in high-energy physics, radiation transport, and detector and neutron target research and development.
2000
For distinguished research on the air/surface exchange of atmospheric trace gases and particles and their interactions with the Earth's biogeochemical cycles, and for pioneering developments in atmospheric sampling methodologies with special emphasis on the global mercury cycle.
1995
For experimental studies in atomic and molecular physics, particularly developments in the field of nonlinear laser spectroscopy and the physics of negative ions
Mook has conducted neutron scattering research on a broad spectrum of materials. He is best known for his pioneering research on the magnetic excitations of transition metal ferromagnets and the observation of itinerant electron effects in these materials.
For his internationally recognized work in the theory of alloys and his pioneering applications of massively parallel computing to first-principles calculations of the properties of materials.