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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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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling of Magnetic Systems Location Information Technology Laboratory, Applied and Computational Mathematics
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Foundations for System Interoperability Location Information Technology Laboratory, Software and Systems
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling, Analysis, and Uncertainty Quantification Location Information Technology Laboratory, Applied and
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for further, more detailed analysis. Research areas include, but are not limited to: Incorporate resilience research [e.g., 2, 3] into extensions of the mathematical programming model underlying NIST ARC so as
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Models for Characterizing Pluripotent Stem Cell Populations Location Material Measurement Laboratory
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NIST only participates in the February and August reviews. Grating-based magneto-optical traps (MOTs) have recently opened up a new path toward miniaturization of cold-atom technologies. In particular, grating MOTs of diverse species like Li, Sr, or even molecules offer paths toward making new...
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Exploring Material Behavior Across Scales: Mechanical Characterization, Microstructural Analysis, FEA/AI/ML Modeling, and Automation Approaches NIST only participates in the February and August reviews. This research topic is not limited to the methods or techniques discussed below. We encourage...
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interactions, and phonon confinement effects. Therefore, it is important to understand phonon propagation in nanomaterial systems at multiple length and temporal scales for which we need a robust mathematical