For significant achievements in advancing battery and energy storage technologies, which are critical for the clean energy transition.
Filter Corporate Fellows
Corporate Fellow Type
All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2022
For leading scientific contributions in fusion energy sciences with a focus on electromagnetic plasma turbulence and on the stability and dynamics of the edge region of magnetic fusion plasmas.
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.
2011
For his role in conceiving, designing, and implementing novel geocomputational methods to help solve a wide variety of national and global problems in energy, the environment, and national security.
For pioneering studies of the functionality of mesoporous oxides and carbons for real-world applications, ionic liquids for chemical separation and materials synthesis, and catalysis by nanomaterials.
1991
For significant advancement of welding science and technology through original and definitive research, particularly for contributions to understanding the solidification behavior of the weld pool, phase stability microstructure-property correlations in welds, and continued leadership and outstanding service to the national and international welding research community.
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