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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 6 hours ago
migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas
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Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as path-flows, and other key parameters and inputs. In your role as
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
encourages creative ideas and leadership. In the words of former Lab Director Brian Anderson , "our differences make us stronger and we’re united in fostering inclusivity in all aspects of our research
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focuses on hybrid traffic flow modelling such as Physics inspired Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as