Harsh Sharma

Hamiltonian operator inference: Physics-preserving learning of reduced-order models for canonical Hamiltonian systems

Harsh Sharma, Zhu Wang, Boris Krämer · Physica D Nonlinear Phenomena · 2021 · 60 citations · Full text

Spectral Theory, Hamiltonian Theory, Reduced Order Modeling +7

Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds

Harsh Sharma, Hongliang Mu, Patrick Buchfink et al. · Computer Methods in Applied Mechanics and Engineering · 2023 · 26 citations · Full text

Hamiltonian Theory, Reduced Order Modeling, Manifold Modeling +3

Energy-preserving variational integrators for forced Lagrangian systems

Harsh Sharma, Mayuresh Patil, Craig A. Woolsey · Communications in Nonlinear Science and Numerical Simulation · 2018 · 18 citations · Full text

Lagrangian Method, Calculus Of Variation, Variational Analysis +1

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems

Harsh Sharma, Boris Krämer · Physica D Nonlinear Phenomena · 2024 · 18 citations

Numerical Analysis, Data-driven Reduced-order Modeling, Reduced Order Modeling +8

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

Harsh Sharma, David Najera-Flores, Michael D. Todd et al. · Computer Methods in Applied Mechanics and Engineering · 2024 · 16 citations · Full text