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- Stacked networks improve physics-informed training: applications to neural networks and deep operator networks
- PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments
- Publications
- Physics guided machine learning for variational multiscale reduced order modeling
- On the dual advantage of placing observations through forward sensitivity analysis
- Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems
- A multifidelity deep operator network approach to closure for multiscale systems
- Sketching methods for dynamic mode decomposition in spherical shallow water equations
- Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows
- Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade