Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"multi-fidelity modeling"”.
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Multi-fidelity Modeling and Reinforcement Learning for Energy Optimal Planning
Modeling the energy consumption of a quadrotor involves complex electrical and physical dynamics, making it difficult to optimize over. We present a sequence-to-sequence multi-fidelity Gaussian process (MFGP) to learn a data-driven model to predict the energy required to fly a given vehicle …
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Classical and Quantum Computational Methods for Predicting Fluid Transport in Fracture Networks
<p>This dissertation addresses the challenge of modeling complex geophysical systems by developing efficient surrogate models and scalable quantum algorithms. Our approaches provide uncertainty quantification, assessing confidence in estimates while accounting for subsurface heterogeneity. These …
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Mechanical and Electromagnetic Optimization of Structurally Embedded Waveguide Antennas
… to provide a computationally low-cost method for modeling waveguide antenna arrays on the scale of an aircraft skin panel using a multi-fidelity model. Weather detection radar for the Northrop Grumman X-47 unmanned air system is considered as a case study. COMSOL Multiphysics is used for creating …
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Estimating current and future benefits of airport surface congestion management techniques
… inherent in forecasting, this thesis adopts a multi-fidelity modeling approach and proposes three methods for estimating the benefits of SCM where the higher fidelity models study a subset of airports to inform and validate the lower fidelity models used on the entire set of airports. In the …
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AI for materials design: Generative AI with multi-fidelity strategies
… spaces and the high cost of obtaining high-fidelity property labels through quantum or physics-based simulations. This dissertation introduces a unified framework that combines generative artificial intelligence (AI), hierarchical transfer learning, multi-fidelity modeling, and graph-driven …