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NIST only participates in the February and August reviews. This opportunity focuses on the development and implementation of liquid chromatography mass spectrometry methods for the quantitation
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materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers
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potential. Such experiments require even more precise measurement of the polarization of the microwave background with exquisite control of systematic errors. NIST is developing polarization-sensitive focal
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Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
measurements of sound, vibration, force, acceleration, and velocity at the highest levels of accuracy, and uses the developed methods to disseminate traceability of such measurements to society. We welcome
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. In this project, we are developing metrology needed for the synthesis, processing, and characterization of low-dimensional materials to enable reliable nanoscale device development and manufacturing
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important that microbiome measurements and data be supported by solid metrology. NIST and partners are seeking to develop standards and new measurement science infrastructure to improve confidence in
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quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and
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are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
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current limitations on material validation, which are linked to limitations on post-process nondestructive evaluation (NDE) with conventional methods. This project seeks to develop innovative methods
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(e.g., thermogravimetric analysis, differential scanning calorimetry, and dynamic mechanical analysis, etc.), (5) developing mechanical test methods for samples (at small and structural-level scales