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.
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 pioneering research and distinguished contributions to the field of high-temperature superconductors, including fundamental materials science advances and technical innovations that enable commercialization.
For distinguished research on the air/surface exchange of atmospheric trace gases and particles and their interactions with the Earth's biogeochemical cycles, and for pioneering developments in atmospheric sampling methodologies with special emphasis on the global mercury cycle.
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.
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