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The DOE Office of Workforce Development for Teachers and Students Visiting Faculty Program (VFP) is designed for full-time faculty to collaborate on a research project at one of 15 DOE national laboratories for enhancing research capacity and innovating STEM teaching and learning at faculty members’ home institutions. As one of the participating labs, Ames National Laboratory has hosted 65 faculty since the program started in 2005.
The U. S. Department of Energy’s (DOE) Ames National Laboratory celebrated a major milestone on March 10 with the official opening of its new Advanced Magnet Facility (AMF), marking a significant investment in U. S. leadership in magnet science and critical materials research.
CMI created the Leadership Academy to provide its scientists with opportunities to hone leadership and management skills while networking and meeting Hub needs.
CMI created the Leadership Academy to provide its scientists with opportunities to hone leadership and management skills while networking and meeting Hub needs.
CMI created the Leadership Academy to provide its scientists with opportunities to hone leadership and management skills while networking and meeting Hub needs.
CMI technology for recovering rare earth elements from electronic waste is licensed to a company in Iowa, which describes the tech and how it is being used.
Using dynamic nuclear polarization (DNP)-enhanced 17O NMR we showed that large numbers of quantitative internuclear distances could be determined to effectively triangulate the positions of atoms in a surface site. The new experiment can be easily applied to almost any surface site with minimal synthetic modification.
Only a small fraction of metals in most industrial catalysts are active, inefficiently utilizing critical materials. We developed a simple and cost‑effective strategy to anchor isolated platinum atoms onto hybrid organic-inorganic surfaces with molecular‑level precision.
A multiscale modeling framework is developed for catalytic conversion in narrow linear nanopores connecting high-fidelity molecular dynamics (MD), Langevin simulation of rare passing processes & coarse-grained (CG) stochastic modeling on experimental time- and length scales. Anomalous pore diameter dependence of yield is successfully predicted.