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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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
2005
For research in the fields of astrophysics and supernova science.
2001
For his internationally recognized accomplishments in high-energy physics, radiation transport, and detector and neutron target research and development.
1992
For playing a substantial and lead role in developing and establishing the structural design methodology that is vital to safe and reliable nuclear power, including the development of high-temperature design analysis methods and code rules that are used worldwide.
1987
For application of chemical and engineering principles to the development of nuclear fuel processing; separation science and technology; and innovative biomedical and bioprocessing concepts for environmental protection, energy production and conservation, and resource recovery
1985
For pioneering work on energy conservation, including development of energy demand models, data bases, and analyses of energy use trends, which has contributed to federal and state energy policies and programs and to demand-side planning by electric utilities.
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