Jerry is recognized for distinguished research on the genetic basis of tree growth and development, including leading the international efforts to sequence, assemble, and annotate the genomes of poplar and eucalyptus bioenergy feedstocks.
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Corporate Fellow Type
Year
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2014
2013
For outstanding scientific leadership in nuclear physics and foundational work in developing and applying nuclear density functional theory to atomic nuclei
For outstanding scientific impact in computational soft matter and nanoscience through cross-discipline collaboration to address materials problems and discover new functional materials
For outstanding leadership and pioneering research in climate and the environmental sciences
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.
2007
For his pioneering contributions to the study of nonequilibrium systems, quantum magnetism, and excitations in condensed matter.
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.
1983
For theoretical research on the electronic and vibronic structures and optical properties of defects in ionic crystals, and for work at the forefront of the rapidly developing field of laser annealing of semiconductors, leading to advances in the photovoltaic conversion of solar energy.
1979
For contributions to nuclear data measurement, analysis, and applications, through determination and development of neutron-induced reaction cross sections, high-resolution neutron scattering, the nonlocal nuclear optical model, and uncertainty and covariance information