Sort by
Refine Your Search
-
coherence remains a primary obstacle to achieving fault-tolerant quantum computing at a meaningful scale.1 We are examining a variety of constituent materials in superconducting quantum devices to correlate
-
system for spinal imaging. The hyperpolarized microMRI work will focus on developing benchtop imaging systems for biopsies and organoid growth. The primary focus will be on optimizing the integrated
-
including (1) the use of critical venturis and/or ultrasonic flow meters as primary flow standards, (2) CFD modeling validated by experiments characterizing how installation effects (i.e., swirl, asymmetric
-
operating frequencies above 100 GHz are used in a wide variety of applications—examples include radio astronomy, climate monitoring, mm-wave imaging, and high-speed wireless data relays. The main method
-
, and flow; the use of critical venturis as primary flow standards; the realization of a primary pressure standard based on measuring the dielectric constant of helium; the development of novel
-
chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a
-
resolution of the original pattern. Lamellae forming block copolymers can reduce the size of line patterns, while cylinder forming block copolymers can be used for fabrication of bit-patterned media for next
-
For predicting thermochemistry of small main-group molecules, quantum chemistry is sufficiently reliable that it can be used to settle experimental disagreements and to provide critical data that are not available
-
properties, allowing primary thermometry. Achieving the size, accuracy, and measurement speed sufficient for thermometry in industrial applications requires new approaches to absorption spectroscopy. First, to
-
needs leads to a series of computational challenges, including metrics of spectral similarity, data handling for applications of principal component analysis (PCA), spectral analysis of mixtures, and