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 pioneering research in disturbance and landscape ecology and in modeling of land-use change with its implications for global changes, which have influenced environmental decision making on a worldwide scale.
For internationally recognized contributions in distributed and cluster computing, including the development of the Parallel Virtual Machine and the Message Passing Interface standard now widely used in science to solve computational problems in biology, physics, chemistry, and materials science.
For pioneering research in ecosystem theory, ecological modeling, error analysis, hierarchy theory, and landscape ecology and for the development of basic applications in risk assessment and regional environmental analysis.
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 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 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.
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