For his leadership in separations science and technology; for improving nuclear fuel recycling and waste removal; and for leading the development process that was instrumental in the cleanup of waste at the Savannah River Site.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2016
2015
For pioneering nuclear structure studies with radioactive ion beams, development of innovative software for gamma ray spectroscopy, and significant contributions to gamma ray tracking detectors.
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.
2003
For fundamental investigations of the structure and dynamics of materials using X-ray diffraction, including pioneering nanosecond resolution X-ray studies and the development of three-dimensional X-ray structural microscopy with submicron resolution.
For the development of advanced X-ray focusing and microfocusing optics and three-dimensional X-ray microscopy, and for pioneering research on the atomic and mesoscale structure of materials.
2001
For his internationally recognized accomplishments in high-energy physics, radiation transport, and detector and neutron target research and development.
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.