Center for Computational Science and Engineering (CCSE): Recent submissions
Now showing items 7-9 of 74
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Scientific Machine Learning for Dynamical Systems: Theory and Applications to Fluid Flow and Ocean Ecosystem Modeling
(Massachusetts Institute of Technology, 2022-09)Complex dynamical models are used for prediction in many domains, and are useful to mitigate many of the grand challenges being faced by humanity, such as climate change, food security, and sustainability. However, because ... -
A new way to do epidemic modeling
(Massachusetts Institute of Technology, 2022-09)The Coronavirus respiratory disease 2019 originating from the virus SARS-COV-2 led to a global pandemic, leading to more than 500 million confirmed global cases and approximately 6 million deaths in more than 50 countries. ... -
A novel equivalence method for high fidelity hybrid stochastic-deterministic neutron transport simulations
(Massachusetts Institute of Technology, 2020)With ever increasing available computing resources, the traditional nuclear reactor physics computation schemes, that trade off between spatial, angular and energy resolution to achieve low cost highly-tuned simulations, ...