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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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the field of flexible electronics. Developing an effective flexible electronic structure has its own challenges from mechanical compliance of the substrate to device performance. There is a delicate balance
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the construction process and correlates to the durability and service life of the composites. The goal is to understand the interplay between structure-properties-performance within these systems
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, from scratch, by attachment of an electron onto a fully-stripped (bare) nucleus to occupy high angular momentum states with transition frequencies that are accessible to a femtosecond laser frequency
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mass spectrometric (MS) detection for quantitative analysis of dietary supplements; (2) use of high-resolution technologies (such as ultrahigh pressure LC, high-temperature LC, two-dimensional gas
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limited to one-dimensional 1 H NMR on liquid samples. Part of the reason for such narrow use of qNMR is that high-quality standards are lacking. It is worth noting that, even for liquid-phase 1 H NMR
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of force field models is not performed in a systematic manner. The parameters are usually obtained to reproduce limited experimental observations, often of questionable or unknown quality. Furthermore
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materials. We are at the forefront of mechanical testing of these materials, performing fracture, fatigue, and ductility testing on samples, which scale from micron-sized to meters long. We characterize
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technologies to manipulate biological macromolecules such as DNA, and the controlled degradation of tissue engineering scaffold or drug delivery materials. To optimize performance and to design new applications
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the long-term health and performance of FRP/concrete in structural applications. Specific research areas include (1) accelerated laboratory testing of FRP/concrete samples to simulate long-term, outdoor