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DDPS | Cheap and robust adaptive reduced order models for nonlinear inversion and design
DDPS | Non-intrusive reduced order models using physics informed neural networks
A physics-based, local POD basis approach for multi-parametric reduced order models
A high level view of reduced order modeling for plasmas
DDPS | Deep learning for reduced order modeling
DDPS | Bridging Models and Data: Assimilation, Model Hierarchies, Causal Inference & Digital Twins
DDPS | Hybrid reduced order models
DDPS | Reduced order models for thermal radiative transfer problems based on moment equations & POD
DDPS | Generative Machine Learning Approaches for Data-Driven Modeling and Reductions
DDPS | Structure-preserving learning of embedded, discrete closure models by Benjamin Sanderse
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Last Updated: August 18, 2026
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