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. The research includes experimental measurements on industrially-pertinent materials using a range of advanced methods (various modes of transmission electron microscopy, x-ray/neutron scattering, x-ray
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attracted considerable attention for potential application in nanoscale devices, including beyond-CMOS electronics, quantum computers, chemical sensors, photodetectors, etc. Prospective advantages over
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importance in chemical analysis, mass spectrometry still lacks theories that can provide computational predictions useful to the analyst. Mass spectrometry encompasses a variety of experimental techniques
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methods such as formal grammars, logic-based semantic representations, and knowledge graphs to improve the representation of knowledge, the evaluation of AI systems, and classification of documents and
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, periodic, gradient, and block monomer sequences achieved through controlled polymerization methods. The polymers will then be subjected to a variety of conditions, such as degradation, and undergo
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in biomanufacturing and personalized medicine. We are developing new electronics techniques that leverage the field effect, and optomechanical interferometric methods for the on-chip measurements
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on developing methods, algorithms, data, and tools, to support autonomous experimentation as well as prediction of industry- and/or community-relevant material properties. Keywords Machine Learning; Artificial
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NIST only participates in the February and August reviews. New measurement methods and tools are required for biology to emerge fully as an enabling, practical platform for engineering. The Cellular
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Poppendieck [email protected] 301.975.8423 Description This program is designed to provide the measurement science to support the development of industry-consensus standards and guides related
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301.975.6050 Jan Obrzut [email protected] 301.975.6845 Description As part of a collaborative NIST-wide program involving structural characterization, modeling, and high-throughput microwave measurement, we