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within the Quantum Measurement Division is investigating graphene metrology towards two goals: (1) to develop near-room-temperature graphene quantum Hall devices and other possible quantum electrical
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function of the hydrogen concentration. This information provides insight into the chemistry and physics of hydrogen adsorption/absorption, which is then used to identify the most promising avenues
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) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety because they rely on black-box AI models and do not contain any guardrails if physical and/or digital parts
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. Although use of this geometry to probe structural changes under shear flow has had remarkable success, the most important changes in fluid microstructures often occur in the 1-2 (flow-shear gradient) plane
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combs in the near-infrared and mid-infrared spectral regions. Our goal is to develop end-to-end capabilities in this area, including electromagnetic design and modeling of waveguides, cleanroom
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/absorption, which is then used to identify the most promising avenues for the synthesis of new materials with the improved CO2 capture and conversion performance. Keywords Carbon dioxide absorption; Carbon
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[1], the flow in porous media, and the composition of materials due to the combination of the neutron’s high sensitivity to light elements and high penetration through most metals. NIST currently
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diagnostic processes. Additional projects may include creating large brain/head virtual data sets using simple growth algorithms to mimic brain tissue as well as various lesions. Bloch solvers with built in
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around a crack tip during loading), or maybe comparing techniques (e.g. HR-EBSD of TKD patterns vs. CBED vs. PED vs. 4D-STEM). We’d love to talk to interested candidates about these or other ideas. key
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NIST only participates in the February and August reviews. Summary: Localization microscopy has left the resolution limit in the rearview optics. However, most localization measurements are precise