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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Field
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simulations.
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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or improved methods on how to include the impact of degradation in models and process simulations Assessment of the results, including evaluation of simplifications and uncertainties and their impact on
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techniques, including (TD)DFT and post-DFT analyses, alongside spin dynamics simulations. The primary goal is to investigate how collective excitations and topological effects influence quantum transport and
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techniques, including (TD)DFT and post-DFT analyses, alongside spin dynamics simulations. The primary goal is to investigate how collective excitations and topological effects influence quantum transport and
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of these phenomena, and how they affect the performance and operation of cells, using advanced mathematical modelling in the open-source simulation platform OpenFOAM. The main supervisor of the candidate will be Prof
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simulation platform OpenFOAM. The main supervisor of the candidate will be Prof. Ann Mari Svensson (IMA), NTNU. Co-supervisors will be Senior researcher Kristian E. Einarsrud (SINTEF) and Researcher Kurian J
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description of steroid enzyme mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models
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simulations can support data augmentation. Key deliverables of this project will be a multi-target radar tracker that learns to utilize radar targets’ amplitude signatures for data association and state
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an efficient and automatic manner, and how simulations can support data augmentation. Key deliverables of this project will be a multi-target radar tracker that learns to utilize radar targets’ amplitude