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RAP opportunity at National Institute of Standards and Technology NIST Finite Element and Crystal Plasticity Modeling for the Development of Lightweighting Materials Location Material
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Development of Nuclear Analytical Imaging Techniques for Materials Analysis with Spatial and Spectral Specificity NIST only participates in the February and August reviews. The objective
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NIST only participates in the February and August reviews. Traditional avenues of advanced materials development are slow and costly. Broadly based efforts, such as the Materials Genome Initiative
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Development of Hyperspectral Raman Imaging for Biology and Medicine: Optical Platform and Data Mining Methods NIST only participates in the February and August reviews. Molecules vibrate with
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RAP opportunity at National Institute of Standards and Technology NIST Development of Procedures for Increasing the Information Content of the Biomolecular Solution X-ray Scattering Data and
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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NIST only participates in the February and August reviews. This research opportunity focuses on developing and improving the state-of-the-art methods for analysis, modeling, and simulation
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are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
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DeCost brian.decost@nist.gov 301.975.5160 Description Trustability and physical interpretability are critical requirements for the development of robust and sustainable machine learning systems needed
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such as PET-MR or MR-US have unique challenges when developing quantitative imaging protocols. In addition, the program has a focus on techniques that challenge the current methodology of MRI. Techniques