Sort by
Refine Your Search
-
algorithms for advanced parallel and distributed computational platforms, prevent scientists from advancing in their domains. The challenges include the facts that (1) microscopy image acquisition generates
-
that require further development. This includes: algorithm design for the interpretation of measurements, designing algorithms for deciding which experiments to perform, communicating with the
-
. We are developing capabilities to address this by leveraging advances in integrated photonics, nonlinear optics and meta-photonics. This relies on advances in understanding nanoscale light-matter
-
. Numerical approaches involve both large-eddy simulation and direct numerical simulation of the phenomena. Topics of interest include algorithm development numerical combustion, scientific
-
properties. Keywords Machine Learning; Artificial intelligence; Materials Science; Autonomous Experimentation; algorithm development; materials property prediction Eligibility citizenship Open to U.S. citizens
-
comparing between species. Additionally, this project will employ emerging proteomics techniques (such as data-independent acquisition) and will be working alongside software and algorithm developers
-
Framework Material MIL-53(Cr) from First Princples. Journal of Physical Chemistry C 121:4312, 2017. Cockayne E, Nelson EB: Density functional theory meta GGA+U study of water incorporation in the metal
-
(read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic identification process and
-
, or Computer Science. Reference Yang X, et al: Analytical Chemistry 86(13): 6393-6400, 2014 Keywords Mass spectrometry; Data analysis; Algorithm; Clustering; MS/MS; Proteomics; Metabolomics
-
computational fluid dynamics (CFD) and computational fluid and particle dynamics (CFPD), a fluid-particulate coupled algorithm, to (i) quantify breath device operation (i.e., species deposition, complex