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The Applied Materials Division (AMD) at Argonne National Laboratory conducts applied research to develop sustainable innovative technologies to improve the efficiency of resource and energy
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their environmental impacts including energy use, water use, emissions, and resource depletion. Coursework and some project experience in application of mathematical optimization, statistics, or machine
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device operation. The project involves large-scale simulations on exascale computing resources to probe switching behavior while accounting for effects of defects, competing metastable phases, doping
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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/reactions, and access to extensive laboratory and national computational resources. In addition, we have significant involvement in three SciDAC-5 projects: 1) Femtoscale Imaging of Nuclei using Exascale