For her advancement of the scientific underpinnings of mass spectrometry as well as collection technologies and strategies with a focus on nuclear nonproliferation.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2023
For her contributions to the development and application of advanced electron microscopy techniques for the study of a broad range of energy and quantum materials.
For his fundamental and translational research including development of leading systems, processes, sensors and controls.
For his scientific and technology contributions to Earth system model development and applications, significantly improving predictions of how terrestrial ecosystems respond to climate change.
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.
For development of Z-contrast microscopy, which allows the direct imaging of materials at the atomic scale.
For distinguished research in the field of risk assessment, including pharmacokinetic and pharmacodynamic models, interspecies extrapolation, and human exposure to dioxin and other background contaminants, and for significant contributions to environmental policy through pioneering investigations of the effectiveness of remediation technologies and through service on national and international advisory panels and boards
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.