330 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" positions at NIST
Sort by
Refine Your Search
-
Research." Metabolites 9(7). 3 - https://doi.org/10.6028/NIST.IR.8451 Researchers: Aaron Urbas (aaron.urbas@nist.gov ), Sandra Da Silva (sandra.dasilva@nist.gov ), Ben Place (benjamin.place@nist.gov ) and
-
the material properties and physical mechanisms controlling fire growth behavior (e.g., pyrolysis, soot formation, species yields, flame heat feedback, smoldering/char oxidation, sample deformation) and to
-
absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
-
RAP opportunity at National Institute of Standards and Technology NIST Creating Computational Techniques to Investigate the Ensemble Structures of Flexible Proteins In Combination with Neutron
-
on developing predictive tools for ceramic AM by combining computational and experimental approaches to study fundamental material processes during direct-ink writing and post-processing of ceramic parts. We
-
-throughput characterization methods include spectroscopy, optical and scanned probe microscopy, scattering, reflectivity, ellipsometry, and contact angle measurements. See http://www.nist.gov/mml/polymers
-
2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178 . building control; intelligent agents; optimization; data analytics; machine
-
RAP opportunity at National Institute of Standards and Technology NIST Dimensional Metrology Location Physical Measurement Laboratory, Sensor Science Division opportunity location 50.68.51.C1080
-
excited atoms in vapor cells. The key advantage of the CoBRAS is that long-term stability of the fluorescence ratios is guaranteed by the immutable physical properties (transition strengths) of the atom
-
mass spectrometry; and advanced chemometric tools for the analysis, interpretation, and comparison of complex metabolomic data sets. https://www.nist.gov/programs-projects/metabolomics-quality-assurance