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phases. This research will integrate a variety of modeling tools across multiple time and length scales to predict the microstructure evolution during the AM build process and post build thermal
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for accelerated science. This research opportunity focuses on developing, evaluating, and applying computational methods for materials characterization and/or simulation that combine the best aspects of physics
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changes from physical or chemical processing, the addition of other measurement modalities and/or using more sophisticated machine learning techniques. The proposal will emphasize the role of metrology
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RAP opportunity at National Institute of Standards and Technology NIST Applied Mathematics of Soft, Fluid, and Active Matter Location Information Technology Laboratory, Applied and Computational
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NIST only participates in the February and August reviews. As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital
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of the uncertainties encountered in the physical experiments. These computational methods have been applied to nanorheology in photopolymerization 3D printing [1], human breath research for forensic and clinical data
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(2017) Gentry, et al: Optica 2: 1065, 2015 Shalm, et al: Physical Review Letters 115: 250402 2015 key words Integrated photonics; Quantum optics; Quantum physics; Quantum computing; Entanglement
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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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on Antennas and Propagation, Volume 61(3): 1285, 2013 Gimbutas Z, Greengard L: Journal of Computational Physics 232: 22, 2013. doi:http://dx.doi.0rg10.1016/jjcp.2012.01.041, arXiv:1104.5293v1 key words
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RAP opportunity at National Institute of Standards and Technology NIST Computational Modeling of Fracture and Fatigue in Hydrogen Environments Location Material Measurement Laboratory, Applied