For his seminal work on elucidating key molecular-scale mechanisms that govern biogeochemical transformation of contaminants, trace metals, and natural organic matter, which has made significant contributions to the understanding of natural organic and metal cycling in terrestrial ecosystems and remediation of contaminated sites, and also for his contributions to the development of the next generation of scientists and engineers.
For pioneering advances in the field of materials chemistry for the design, synthesis and fabrication of new materials and their translation into new energy technologies, including superconductor wires, electrodes for batteries, solar cells, lithium extraction from geothermal brine and additive manufacturing of magnets, and also for his leadership in developing the next generation of scientists and engineers.
For his leadership in separations science and technology; for improving nuclear fuel recycling and waste removal; and for leading the development process that was instrumental in the cleanup of waste at the Savannah River Site.
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.
For fundamental investigations of the structure and dynamics of materials using X-ray diffraction, including pioneering nanosecond resolution X-ray studies and the development of three-dimensional X-ray structural microscopy with submicron resolution.
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.
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