For her leadership in the research and development of thin-film energy-storage systems; for advancing the understanding of the architectures, materials, and in-service dynamics of thin-film and 3D batteries; and for her leadership in the development of the lipon electrolyte.
Since 2001, Mike Simpson has been a group leader for the Nanofabrication Research Laboratory and theme leader in the Center for Nanophase Materials Sciences. His research focus includes noise biology, nano-enabled synthetic biology and controlled synthesis and directed assembly of carbon nanostructures.
For distinguished research in the field of risk assessment, including pharmacokinetic and pharmacodynamic models, interspecies extrapolation, and human exposure to dioxin and other background contaminants, and for significant contributions to environmental policy through pioneering investigations of the effectiveness of remediation technologies and through service on national and international advisory panels and boards
For outstanding contributions to many areas of solid-state physics, including the electronic structure of metals, ultrarapid melting and solidification phenomena, pulsed-laser deposition and epitaxial film growth, high-temperature superconductivity, and beam-assisted processing of thin films and superlattices.
For fundamental contributions to many areas of theoretical solid-state physics that directly relate to experimental programs, including the electronic structure and magnetism of transition and rare-earth metals, metal-electrolyte interfaces, superconductivity, and physical properties of heavy fermion, mixed valent, and fractal materials
For contributions to the development of new concepts and advanced systems for power generation and conversion, through innovative designs of nuclear reactors for aircraft propulsion and space auxiliary power and concepts for thermonuclear fusion reactor power plants
For research extending the theoretical description of direct nuclear reactions and nuclear structure, as one of the first theorists to implement the much more refined and detailed treatment of experimental data made possible by computers