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materials. We are at the forefront of mechanical testing of these materials, performing fracture, fatigue, and ductility testing on samples, which scale from micron-sized to meters long. We characterize
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technologies to manipulate biological macromolecules such as DNA, and the controlled degradation of tissue engineering scaffold or drug delivery materials. To optimize performance and to design new applications
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the long-term health and performance of FRP/concrete in structural applications. Specific research areas include (1) accelerated laboratory testing of FRP/concrete samples to simulate long-term, outdoor
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design and assessment; (5) developing guidelines for low-damage structural systems; and (6) developing and testing new low-damage technologies for seismic performance enhancement. key words Earthquake
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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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correlations and prediction methods. The program will build on our existing efforts using Quantitative Structure-Property Relationship (QSPR) methodologies and modern machine learning methods (support vector
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structural techniques for probing the interface, such as SEIRAS and STM, with computational methods to develop new electrochemical models. The computational work focuses on combining DFT methods
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, scattering, etc. Concurrently, computational modeling will be used to predict both structure-property relationships and degradation rates based on the number and distribution of the monomers with
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of the difficulty of producing membrane protein crystals of the quality required for high-resolution x-ray or neutron diffraction studies. Numerous approaches involving surfactant-based systems exploiting
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microscopy, and neutron reflectivity, are studied in this project. As a consequence of this work, very high sensitivity magnetic sensors, low energy loss transformers, room-temperature and low field magnetic