Corporate Fellows

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.

For his extensive contributions to large-scale and high-speed advanced manufacturing and 3-D printing; for blending additive manufacturing with fluid-powered systems to develop lightweight, high-dexterity, and low-cost prosthetics; and for his tireless mentoring of students at all levels in science, technology, engineering, and mathematics.

David C. Radford
“For pioneering nuclear structure studies with radioactive ion beams, development of innovative software for gamma ray spectroscopy, and significant contributions to gamma ray tracking detectors.”

For outstanding scientific leadership in nuclear physics and foundational work in developing and applying nuclear density functional theory to atomic nuclei

For outstanding scientific impact in computational soft matter and nanoscience through cross-discipline collaboration to address materials problems and discover new functional materials

For outstanding leadership and pioneering research in climate and the environmental sciences

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.

For leadership and pioneering research in the fundamental effects of radiation on a broad range of metals and ceramics applicable to fission and fusion energy systems.

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