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
2008
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.
2005
For research in the fields of astrophysics and supernova science.
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.
1998
For international leadership in developing innovative therapeutic and diagnostic applications of radionuclides for nuclear medicine.
1996
For pioneering research in ecosystem theory, ecological modeling, error analysis, hierarchy theory, and landscape ecology and for the development of basic applications in risk assessment and regional environmental analysis.
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.