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engineering disciplines such as fluid mechanics, heat transfer, dynamics and system controls, optics, metrology, and data science. Measuring the various dynamic physical phenomena during the fabrication
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disease diagnostics—e.g., cancer, neurodegeneration, osteoporosis—as well as in deciphering the underlying mechanisms of such diseases.Although there is enormous potential of this field in adding valuable
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-mechanical processing. Some of these modeling tools include density functional theory (DFT), CALPHAD-based models, phase-field models, and finite-element models (FEM) to predict as-built microsegregation
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mechanisms, micro- and nanofabrication techniques, as well as, more generally, new applications of magnetics-based nanotechnology to biomedicine. Depending on chosen research direction, there may be
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202 578 8353 Edwin Pak-Nin Chan edwin.chan@nist.gov 301.975.5228 Sara Orski sara.orski@nist.gov 301 975 4671 Description Understanding the structure and mechanical properties of polymer networks is
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
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. Successful industrialization of these new sintering technologies requires a thorough understanding of their underlying physical mechanisms, which is still incomplete. This NRC opportunity complements
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of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
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NIST only participates in the February and August reviews. This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary
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. Applying these techniques to induced pluripotent stem cell (iPSC) colonies will provide a better understanding of cellular mechanics and efficiency of differentiation, and will allow systematic quantitative