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method that performs well across all types of microbial samples is very challenging. The difficulty increases considerably when quantifying microbial mixtures, which are increasingly relevant for many
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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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properties to them, generates a finite element mesh, and performs virtual measurements. The goal is to build a computational platform that can predict the macroscopic behavior of a material from knowledge of
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Measurement of High-Accuracy Vapor-Liquid Equilibrium Data with NMR Spectroscopy NIST only participates in the February and August reviews. Nuclear magnetic resonance (NMR) spectroscopy has many
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operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio astronomy, climate monitoring, mm-wave imaging, and high-speed wireless data relays. The main method
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with a specific focus on fatigue (both high and low cycle) and fracture. Industrial relevance will be ensured by leveraging NIST’s partnerships with AM industry stakeholders, along with internal partners
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and human breath). This project focuses on the development of advanced sensing components-individually or within sensor systems-that can help to push performance to new levels, thereby impacting
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) to develop a high-throughput technique to screen new materials for high frequency performance. As a first step, the Associate will focus on ferroelectric materials and transition metal dichalcogenides
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are seeking researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in
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the use of laser pumping and silicon micromaching. This proejct develops compact magentic sensors than combine high sensitivity and accuracy with vector field readout and manufacturability. We design novel