Pages that link to "Item:Q5161415"
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The following pages link to Physics-Constrained, Data-Driven Discovery of Coarse-Grained Dynamics (Q5161415):
Displaying 10 items.
- Predictive coarse-graining (Q1685164) (← links)
- Data-driven stochastic modeling of coarse-grained dynamics with finite-size effects using Langevin regression (Q2077596) (← links)
- A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables (Q2124009) (← links)
- Data-driven discovery of coarse-grained equations (Q2124010) (← links)
- Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems (Q2125437) (← links)
- Variational framework for distance-minimizing method in data-driven computational mechanics (Q2184276) (← links)
- A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the small data regime (Q2222510) (← links)
- Data-driven discovery of governing equations for fluid dynamics based on molecular simulation (Q5222604) (← links)
- Data-Driven Discovery of Governing Equations for Coarse-Grained Heterogeneous Network Dynamics (Q6076413) (← links)
- A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty (Q6553801) (← links)
