Since 2001, Mike Simpson has been a group leader for the Nanofabrication Research Laboratory and theme leader in the Center for Nanophase Materials Sciences. His research focus includes noise biology, nano-enabled synthetic biology and controlled synthesis and directed assembly of carbon nanostructures.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2014
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.
2013
For outstanding scientific impact in computational soft matter and nanoscience through cross-discipline collaboration to address materials problems and discover new functional materials
2012
For environmental-effects research related to energy technologies and their use, focusing on the impacts of climate and atmospheric changes on the physiology, growth, and biogeochemical cycles of North American forest ecosystems.
2009
For far-reaching accomplishments on national security issues relating to nuclear weapons proliferation, security of nuclear materials, and counterterrorism.
For contributions to the methodology for electronic structure calculations and in applications to diverse classes of materials.
2005
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.
2004
For innovative research in nuclear structure physics, particularly in areas leading to a quantitative understanding of the excitation and decay of the elementary collective modes of nuclei, and for vision and scientific and technical leadership in building the Holifield Radioactive Ion Beam Facility into a forefront laboratory for nuclear science.
2002
For internationally recognized contributions in distributed and cluster computing, including the development of the Parallel Virtual Machine and the Message Passing Interface standard now widely used in science to solve computational problems in biology, physics, chemistry, and materials science.