Sort by
Refine Your Search
-
, the property information demand from industry is much larger than the current rate of experimental data production. Consequently, there is an obvious need for accurate methods that can predict viscosity
-
candidate would already have some expertise in optical microscopy, computational imaging, instrumentation for optical microscopy, data acquisition and automated stage/camera control, DUV or EUV optics
-
over time. Stem cell populations can be highly heterogeneous and can exhibit complex responses. Using quantitative imaging data on large numbers of live cells over time, we can construct potential
-
property data are available for only a few dozen fluids. A better understanding of fundamental fluid behavior would allow the accurate prediction of properties for those fluids lacking good data and thus
-
for at least one spatial scale, best practices for how the approach can be replicated for different spatial scales, public data sources for all indicators, data visualization for the indicators
-
of small volumes of liquid samples as a function of temperature, composition, and concentration. These measurements can yield information on the polarization dynamics of inorganic nanoparticles, organic
-
to effectively convert interactions occurring at gas-solid or liquid-solid interfaces, or between molecules, into measurable signals that provide information on the nature and concentration of chemical and
-
considerable amount of data of the standard biological fluids on different LC-MS platforms and in-house software has been developed for chromatography alignment, spectral similarity, peak deconvolution, and
-
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
-
pushed the limits of mass detection to spectral resolutions over 100,000, allowing for specific mass determination and unknown compound identification. Analytical methods and novel data-processing tools