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to understand dynamic changes within microbiomes or to design interventions (e.g., modeling algal blooms, improving human health or crop yields, bioremediation). This project seeks is to develop measurement
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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample
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@nist.gov 301.975.8496 Description Autonomous experimentation is the combination of automated execution with machine learning (ML) decision making. It has demonstrated the possibility of accelerating
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@nist.gov 301.975.8993 Description Protein or peptide hormones control and regulate diverse physiological processes and are important targets in clinical labs for diagnosing disease. There is a need to
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particles. These functional polyplex particles have numerous opportunities for the application of polymers in life science research.[1] There is much to learn concerning their mechanism of formation
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properties such as electron-based spectroscopies, nanometer-scale imaging with energy filtering using a photoemission electron microscope (PEEM), and other optical measurements. Research is done in close
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crime scene hazards—require more sensitive and robust methods, especially in field environments. Another area of concern is that current analytical methods for drug testing are not agile or well-resolved
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reviews. Nuclear magnetic resonance (NMR) spectroscopy has several important advantages for quantitative measurements of amount of substance: authentic material is not required for calibration, sample
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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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@nist.gov 303 497 5530 Nikolas Wilson Hrabe nik.hrabe@nist.gov 303.497.3424 Description Additive manufacturing (AM) is a transformational technology for fabricating complex metallic shapes directly from 3-D