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08/26/2023
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics
Discovering a suitable coordinate transformation for nonlinear systems e...
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08/04/2023
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems
This work discusses the model reduction problem for large-scale multi-sy...
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08/02/2023
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems
We present a framework for learning Hamiltonian systems using data. This...
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04/01/2021
Intrusive and non-intrusive reduced order modeling of the rotating thermal shallow water equation
In this paper, we investigate projection-based intrusive and data-driven...
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11/02/2020
Structure-preserving reduced order modelling of thermal shallow water equation
Energy preserving reduced-order models are developed for the rotating th...
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07/28/2020
Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation
This paper discusses a non-intrusive data-driven model order reduction m...
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06/09/2020
Reduced order modelling of nonlinear cross-diffusion systems
In this work, we present a reduced-order model for a nonlinear cross-dif...
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04/18/2020
Structure-preserving reduced-order modelling of Korteweg de Vries equation
Computationally efficient, structure-preserving reduced-order methods ar...
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02/26/2020
Structure-preserving Reduced Order Modeling of non-traditional Shallow Water Equation
An energy preserving reduced order model is developed for the nontraditi...
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07/10/2019
