Corporate Fellows

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 the application of chaos theory and nonlinear dynamics to energy technologies, including gas-fluidized beds, internal combustion engines, and pulsed combustion.

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 research in the fields of astrophysics and supernova science.

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 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.

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