184 structures "https:" "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" positions at NIST in United States
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force fields and probabilistic multiscale/multiphysics surrogate modeling. Preferred areas of application include structure and microstructure of metallic alloys and relationships between defects and
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to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org/10.6028/jres.123.004 key words Molecular simulation; Monte Carlo
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intensity variation; noise perception and removal, and ambiguous identifications. We are interested now in exploring the techniques to tackle the problems associated with fragmentation pathway or structure
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(2022). https://doi.org/10.1007/s11669-022-01011-1
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are seeking researchers to contribute to the development and application of advanced measurement and automation techniques for exploring processing-structure-property-performance (PSPP) relationships in
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property data primarily intended for model development that investigate how the molecular size, molecular structure, and polarity of fuel constituents impacts their thermophysical properties. Measurements
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soft materials are sought especially for the following programmatic areas of interest: (1) Structural properties, dynamics and transport in thermoplastic, thermoset, and functional polymers; (2
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-throughput characterization methods include spectroscopy, optical and scanned probe microscopy, scattering, reflectivity, ellipsometry, and contact angle measurements. See http://www.nist.gov/mml/polymers
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like ion mobility). Applicants are expected to have knowledge of LC-MS/MS. Knowledge of mass spectral libraries would be beneficial. References: https://doi.org/10.1002/rcm.7475; https://doi.org/10.1002
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consequences. Currently, it is not possible to accurately predict the long term performance of a textile or fiber composite used for ballistic protection. Quantitative measurements of molecular structure