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Development and Assessment of Machine Learning Techniques for Non-Intrusive Probabilistic Surrogate Modeling of High-Fidelity Nuclear Reactor Simulations
Development and Assessment of Machine Learning Techniques for Non-Intrusive Probabilistic Surrogate Modeling of High-Fidelity Nuclear Reactor Simulations
LaFleur, Brandon. | University of Michigan | 2024
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Data-Driven Digital Twins for Health-Aware Supervisory Control of Nuclear Reactors
Data-Driven Digital Twins for Health-Aware Supervisory Control of Nuclear Reactors
Lim, Jasmin Y. | University of Michigan | 2025
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Data-Driven Geometric Field Prediction Methods and Engineering Applications
Data-Driven Geometric Field Prediction Methods and Engineering Applications
Ferguson, Kevin M. | Carnegie Mellon University | 2025
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