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ultraviolet photoemission, scanning probe microscopies, mass spectrometry, fluorescence and other optical methods, and local electronic transport measurements are used to monitor these surface and
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from plots, analysis of paper content and extraction of metadata (substances, description of their samples, experimental methods, uncertainties, etc.). This processing system can also be expanded to
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. This research opportunity centers on developing methods, algorithms, data, and tools, to support autonomous experimentation as well as prediction of industry- and/or community-relevant material
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Timothy P. Quinn [email protected] 303.497.3480 Description Microbes are prolific (≈60% of Earth’s biomass) and exhibit substantial genetic diversity; however, laboratory methods for culturing these
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-throughput microwave measurement, we are developing new methods for characterizing the structure and dynamics of the interface and interphase regions in carbon-based nanocomposite materials and in
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analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior physics knowledge into the data analysis
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an adversary. We would like to address the safety concerns by researching a metrology for establishing digital references [2], safety zones (boundaries), validation methods for AI risk management, and
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drug metabolites. We will then design, develop, and characterize unique sampling methods based on fundamental property data for drugs of abuse. Ultimately, we aim to have a field-deployable tool to
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phone Edward Ryan Sisco [email protected] 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to