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examinations to address issues such as prediction of drug class of unknown substances, interpretation of ignitable liquid signatures, or prediction of trace explosives degradation signatures. Development
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currently contains over 4.2 million data points along with the associated experimental uncertainties. Direct access to this information opens unique possibilities for the development of next-generation
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using vibrational spectroscopy, photoelectron spectroscopy, contact angle, and eGaIn electrical measurements to address technology barriers which will enable successful development and subsequent
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/hospitals/factories, elder care, and the Internet of Things (IoT). NIST extensive research activities in this area include development of new solutions as well as rigorous testing of indoor localization and
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-currents. Ultimately, the goal of this project is to better understand the interactions between spins and superconductors that will allow the development of nanoscale hybrid memory elements that can be
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images. The use of semantically-derived taxonomies, ontologies, and relations automatically extracted from texts can improve the development and standardization of domain-based AI systems and human
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technology development community and cell line repositories to design reference transcriptome samples, and then develop methods to integrate transcriptome sequencing data from short and long read technologies
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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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interactions with the electrolyte as a function of applied potential. Despite more than a century of model development, much is still unknown about even single-crystal interfaces. We combine spectroscopic and
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301 975 4364 Kathryn L. Beers kathryn.beers@nist.gov 202 578 8353 Sara Orski sara.orski@nist.gov 301 975 4671 Description Development of quantitative structure-property relationships for polymers has