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
For pioneering advances in the field of materials chemistry for the design, synthesis and fabrication of new materials and their translation into new energy technologies, including superconductor wires, electrodes for batteries, solar cells, lithium extraction from geothermal brine and additive manufacturing of magnets, and also for his leadership in developing the next generation of scientists and engineers.
2007
For his pioneering contributions to the study of nonequilibrium systems, quantum magnetism, and excitations in condensed matter.
For his research on the effects of elevated levels of atmospheric carbon dioxide on terrestrial ecosystems.
2005
For research in the fields of astrophysics and supernova science.
For studies of the electronic structure of molecules, computational chemistry, and high-performance algorithms and computing.
For developments in biomedical engineering and biotechnology, micromechanical devices, and nanoscale imaging and detection.
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.