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. This opportunity focuses on the development of new device technologies (microfluidic enclosures, environmental control, and imaging capabilities) to manipulate external cues and monitor the feedback mechanisms
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process control applications in the nanomanufacturing and semiconductor industries. Our research focuses on the miniaturization of SPM sensing mechanisms (e.g., active cantilevers), high-speed MEMS scanning
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301.975.3507 Description Recent developments in Artificial Intelligence (AI) have allowed machine learning models to solve certain complex problems in natural language processing and other areas at large scales
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sample preparation equipment (including cross-sections) and also an ability to fabricate prototype devices using electron lithography. The current topics of interest include the process development and
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temperature and velocity data to provide a complete picture of the physics and chemical structure of the environment within the fire enclosure. Measurements will be completed for a variety of fuel types and
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Development of magnetism-based future electronics is fueled by demand for large memory capacity and high data processing rates. New technologies such as hard drives with bit-patterned media and magnetic memory
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are often destructive, insufficient in resolution and sensitivity, and are subject to bias inherent in the measurement process. New methods for quantitative, in situ characterization are essential for gaining
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controls the interactions of and between nanotubes dispersed for processing in liquid media. A key example of this is that liquid phase separation techniques rely on modulating these interactions using
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on characterizing such novel magnetic behavior and understanding the origin of the new phenomena, so that the relationship between structure, processing, and properties can be established. Such a relationship is
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NIST only participates in the February and August reviews. The Alternative Computing Group at NIST has an ongoing program developing new metrologies to support emerging information processing