Sort by
Refine Your Search
-
nanocomposites containing these networks. Our objective is to develop metrologies to understand how morphology and functionalization affect the alternating current (AC) conductivity of composite materials
-
This research aims to engineer atomic systems with special features that are favorable for testing theory, and for measuring fundamental constants and atomic data. In many cases, progress is impeded, not by
-
Security Division opportunity location 50.77.31.B7615 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Lidong Chen lily.chen@nist.gov 301.975.6974 Meltem
-
with stable isotopes such as 2 H, 13 C, 15 N, and 18 O is an important tool for structural and bioanalytical methods such as nuclear magnetic resonance (NMR), small angle neutron scattering (SANS), and
-
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
-
tools to enable early and accurate diagnoses of disease as well as studies to elucidate mechanisms and networks in complex biological systems. Project areas include biochemical/molecular biology process
-
conversion, and four-wave mixing. However, careful characterization of these components that is traceable to classical radiometric techniques can be very challenging. Research opportunities include improving
-
data using a multitaper spectral analysis approach [2]. The fundamental methodology around frequency stability analysis of clock data hasn’t been revisited in decades; our goal is to develop a suite of
-
5235 Description Corrosion is estimated to cost $2.5 trillion dollars annually, of which ~$500 billion could be saved by the application of existing technologies. But for the remaining $2 trillion, a
-
characterize complex fluids and their interaction with other matters. However, measurements require interpretation that is aided by computational fluid dynamics (CFD) and computational fluid particle dynamics