For her leadership in the research and development of thin-film energy-storage systems; for advancing the understanding of the architectures, materials, and in-service dynamics of thin-film and 3D batteries; and for her leadership in the development of the lipon electrolyte.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2015
For his extensive contributions to large-scale and high-speed advanced manufacturing and 3-D printing; for blending additive manufacturing with fluid-powered systems to develop lightweight, high-dexterity, and low-cost prosthetics; and for his tireless mentoring of students at all levels in science, technology, engineering, and mathematics.
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
2008
For outstanding scientific, programmatic, and institutional contributions to ORNL in advanced computational structural mechanics and nuclear safety technologies.
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.
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.