Sort by
Refine Your Search
-
materials, (2) the preferred binding sites of adsorbate species in nanoporous solids and predicted experimental signals (e.g., infrared spectra), and (3) the development of DFT-based force field models
-
information. Our group performs research and development to extend the accuracy, wavelength range, power range, robustness, and portability of radiometric standards. We use advanced nanfabrication techniques
-
technologies. Research interests include (1) development of novel approaches for the non-target screening of complex chemical systems; (2) fundamental research of HRAM-MS technologies and affiliated hyphenated
-
being able to address these needs, though significant research gaps still exist in technique development, chemometrics, spectral interpretation, and standards development.Development of new or modified
-
within the Radioactivity Group at NIST addresses some of these hurdles in an effort to provide the foundations for absolute quantitation in imaging. NIST pioneered the development of long-lived calibration
-
DeCost brian.decost@nist.gov 301.975.5160 Description Trustability and physical interpretability are critical requirements for the development of robust and sustainable machine learning systems needed
-
focus on the development and application of new and emerging technologies to solve forensic problems and facilitate technology transitions within the forensic community. key words Sequencing; Capillary
-
characterize, manufactured particles suffer heterogeneity issues which hinder treatment efficacy and safety. To speed treatment development and improve efficacy and safety we are developing interferometric
-
system. We are interested in a range of research topics, from the applied to the fundamental, covering such areas as understanding epitaxial growth of III-nitride nanostructures and development of new
-
to differentiated states. This project involves a team working in live cell imaging, data analysis, and probabilistic model development. References Sisan D.R., et al. (2012) Predicting rates of cell state change due