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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics
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modes, effects, and criticality requires deep domain knowledge and careful analysis. Collecting High-Quality Sensor Data. Simulating Realistic Fault Conditions. Developing Reliable Fault Prediction Models
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Simulation) will support a one-year applied research project and evaluate a mobile DC microgrid for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB
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of the β-decay rate of isotopes immersed in an ECR plasma. The experiment consists of a numerical modelling of plasma, including electron and ion dynamics, and the consequent estimation of the lifetime
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in MVDC protection and the technological challenges of using MVDC for power distribution. Developing mathematical and simulation models of relevant study cases for the study of faults in MVDC systems
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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Systems offers a chance to enhance simulation capabilities in uPVC compound blending operations. You will implement Discrete Element Method (DEM) simulations to optimise processes, targeting annual savings
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. Objectives: Characterize the hydrodynamics of the gas phase in bioreactors at different scales (20Là15m3) CFD simulation of gas/liquid flow using the Eulerian approach (two-fluid model) Comparison between
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modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas