Sort by
Refine Your Search
-
strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the finite element model updating (FEMU) method, but
-
the development of analytical methodologies, from both instrumentation and informatics standpoints, for the multifaceted and convoluted data that are obtained from complex biological, chemical, and forensic samples
-
of hydrogen-safe infrastructure. As with most environmental degradation problems, industry-specific testing has been prioritized, leading to phenomenological standards that are adjusted as new data or new
-
techniques to study hydrogen locations and dynamics in materials necessary for advancing the Hydrogen Economy. Detailed information on hydrogen locations and binding potentials in a lattice is extracted as a
-
) motivates research in Knowledge Representation and Reasoning (KRR). The successful applicant would have an opportunity to apply their expertise in semantic web, linked data, and knowledge graphs to the field
-
shocks and stressors). This research effort relies extensively on modeling and optimization, with consideration for field data collection, and statistical and geospatial data analysis. Informed by
-
algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
-
the rigorous data quality metrics for accurate diagnostics, prognostics, medical biomarkers, and for untangling the mechanisms of disease. The development and delivery of solution-enabling metrology tools
-
thermophysical property data for the process gases. Our group maintains a wide variety of experimental apparatus for state-of-the-art property measurements. These include a two-sinker densimeter for reference
-
. Sriram sriram@nist.gov 301.975.3507 Description Systems biology involves gathering comprehensive sets of data that define and quantify the elements of a particular biological system and computationally