For his internationally recognized leadership in neutron diffraction and crystallography, his role in developing new diffraction facilities at both the High Flux Isotope Reactor and the Spallation Neutron Source, and his leadership of high-impact research programs in high-temperature superconductivity and thermoelectrics; for outstanding mentorship of many early career staff members; and for his representation of ORNL as a fellow in numerous professional societies.
For his innovative contributions to many facets of biofuel sciences focused on lowering costs across the fuel and bioproduct production life cycle, including breakthroughs in fermentation, bioproduct formation, bioprocessing, catalysis, and recalcitrance minimization; for his service (2011–2017) as the scientific coordinator for the BioEnergy Science Center based at ORNL; and for his representation of ORNL as a fellow of the American Institute of Chemical Engineering (AIChE) and Society for Industrial Microbiology and Biotechnology and his service on the AIChE’s Society for Biological Engineering board of directors.
For research that has revolutionized the field of scanning probe microscopy, breaking new ground in atom-scale nanofabrication by combining scanning transmission electron microscopy with artificial intelligence and machine learning methods, and for his representation of ORNL as a fellow in numerous professional societies.
For research that has revolutionized the design of epitaxial complex oxide thin films and heterostructures that deliver novel properties and functionality for a wide array of applications in energy; for his leadership of the Quantum Heterostructures Group in ORNL’s Materials Science and Technology Division; for his central role in the expanding the landscape of the National Quantum Initiative; for his representation of ORNL as a fellow of the American Physical Society; and for his outstanding reputation as a mentor.
For developing innovative, transformative architectures and software for high-performance computing that have been integral in the deployment and exploitation of the world’s most powerful extreme-scale, energy-efficient, productive high-performance computing systems for science; for his leadership of the Future Technologies Group in ORNL’s Computer Science and Mathematics Division; and for his representation of ORNL as a fellow of the Institute of Electrical and Electronics Engineers and a Distinguished Scientist Member of the Association for Computing Machinery.
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.
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.
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 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.