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Description This program is designed to support the design, construction, and operation of high-performance sustainable buildings with good indoor environments and low levels of energy consumption. This goals
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devices such as magnetic tunnel junctions, metal-oxide and phase-change memristors, and others. These devices are combined with custom-designed conventional CMOS circuits to realize diverse
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characterization (ultrasound, x-ray scattering, IR imaging), and experimental equipment design (CAD, controls (i.e., LabView, Python, Arduino, G-code), image/video processing (i.e., ImageJ). [1] A
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removal and 3D volume segmentation, (f) designing tools for 3D segmentation annotation and verification, (g) registering 3D volumes, (h) evaluating accuracy and uncertainty of image-based measurements, (i
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development of RF MEMS/NEMS resonators. Several resonator geometries are being developed that combine low-loss mechanical design, unique materials, and electrostatic, electrothermal, and piezoelectric actuation
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MeV to 20 MeV and high-energy x-ray (bremsstrahlung) beams of 6 MV and 18 MV. Research opportunities exist in the areas of electron- and photon-beam dosimetry (medical and industrial), detector design
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in understanding the phases formed and the mechanisms involved in the successful crystallizations to date in order to enable rational design approaches to extending their utility. We use Small-Angle
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@nist.gov 301.975.6256 Description Our project group is working to design and build a machine learning-driven autonomous system for genetic engineering of novel functionality into microbial systems
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the controlled degradation of tissue engineering scaffold or drug delivery materials. To optimize performance and to design new applications, an improved understanding of the structure and dynamics
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301.975.8496 Description To design novel 2D materials and devices (e.g., sensors and transistors), we are interested in Density Functional Theory (DFT) and/or Tight Binding (TB) based modeling of phase diagrams