Sort by
Refine Your Search
-
RAP opportunity at National Institute of Standards and Technology NIST Applied Optimization and Simulation Location Information Technology Laboratory, Applied and Computational Mathematics
-
techniques. Developed models will be used to optimize processing and conventional alloy compositions for additive manufacturing. T. Keller, G. Lindwall, S. Ghosh, L. Ma, B.M. Lane, F. Zhang, U.R. Kattner
-
Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
-
NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
-
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
-
, including computational fluid dynamics (CFD), discrete element method (DEM), and discrete phase model (DPM), with a specific focus on coupled approaches (CFD-DEM/CFPD) in turbulent environments. Quantum
-
., biomarkers, metabolites) must be evaluated using digital twins of breath device prototypes. Our digital twins are based on simulations using computational fluid dynamics (CFD) and computational fluid and
-
Quantum networks rely on entangled photons to distribute quantum information across the network. In our group, we study these photon sources as well as ways to utilize and optimize them for use in quantum
-
Advancing the state of the art in measurements of sound, vibration, force, acceleration and velocity
of sound, force, and vibration; accurate optomechanical sensors for sound, force, and vibration; quantum acoustical measurements based on phonon counting and entanglement; optimal incorporation of physical
-
Description Mathematical modeling forms the basis for understanding, simulating, optimizing and controlling numerous scientific phenomenon and associated measurements. Mathematical models frequently take the