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NIST only participates in the February and August reviews. Metals-based additive manufacturing (AM) processes, or metals 3D printing, such as laser powder bed fusion and directed energy deposition
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, which require specific 3D conformations to function properly. Any abnormalities in their structures can result in serious health-related problems or drug efficacy losses. However, all current methods have
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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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, constraint programming, Bayesian methods, sparse kernel machines, graphical models, and deep learning. Some examples of materials classes of interest for this project are photovoltaic, thermoelectric
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Robotic Systems for Smart Manufacturing Program is developing the measurement science needed to enable manufacturers to characterize and understand the performance of robotics systems within
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of additive manufacturing devices including consumer grade 3D printers; and 3) metrology development for characterizing mixed-phase nanomaterial samples using spectroscopy and microscopy methods. key words
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physiologically relevant in vitro 3D cell cultures with controlled expressions of endogenous biomarkers; (4) development of optical measurement techniques and standards for quantitative characterization
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employed. This involves the computational determination of 3-D features of a specimen from a series of their 2-D projections. By carefully preparing the specimen, designing the experimental acquisition, and
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that are poorly-defined and irreproducible. We are currently working to (1) use 2D and 3D bioprinting in vitro to engineer structured microbial communities that mimic the complex spatial and genotypic organization
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to 2D (two-dimensional) as well as 3D systems, which will be applicable to real semiconductor devices. This technique, which may be a breakthrough in the field of atomistic scale modeling of temporal