| A review of structure-preserving numerical methods for engineering applications H Sharma, M Patil, C Woolsey Computer Methods in Applied Mechanics and Engineering 366, 113067, 2020 | 40 | 2020 |
| Hamiltonian operator inference: Physics-preserving learning of reduced-order models for canonical Hamiltonian systems H Sharma, Z Wang, B Kramer Physica D: Nonlinear Phenomena 431, 133122, 2022 | 37 | 2022 |
| Energy-preserving variational integrators for forced Lagrangian systems H Sharma, M Patil, C Woolsey Communications in Nonlinear Science and Numerical Simulation 64, 159-177, 2018 | 19 | 2018 |
| Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems H Sharma, B Kramer Physica D: Nonlinear Phenomena 462, 134128, 2024 | 14 | 2024 |
| Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds H Sharma, H Mu, P Buchfink, R Geelen, S Glas, B Kramer Computer Methods in Applied Mechanics and Engineering 417, 116402, 2023 | 11 | 2023 |
| Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for the Attitude Dynamics of a Rigid Body H Sharma, T Lee 2019 American Control Conference (ACC), 5487-5492, 2019 | 4 | 2019 |
| Energy-preserving, Adaptive Time-Step Lie Group Variational Integrators for Rigid Body Motion in SE (3) H Sharma, M Patil, C Woolsey 2019 IEEE 58th Conference on Decision and Control (CDC), 8079-8084, 2019 | 3 | 2019 |
| Bayesian Identification of Nonseparable Hamiltonian Systems Using Stochastic Dynamic Models H Sharma, N Galioto, AA Gorodetsky, B Kramer 2022 IEEE 61st Conference on Decision and Control (CDC), 6742-6749, 2022 | 2 | 2022 |
| Performance assessment of energy-preserving, adaptive time-step variational integrators H Sharma, J Borggaard, M Patil, C Woolsey Communications in Nonlinear Science and Numerical Simulation 114, 106646, 2022 | 2 | 2022 |
| Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems H Sharma, DA Najera-Flores, MD Todd, B Kramer Computer Methods in Applied Mechanics and Engineering 423, 116865, 2024 | 1 | 2024 |
| Full-Body Optimal Control of a Swimming Soft Robot Enabled by Data-Driven Model Reduction I Adibnazari, H Sharma, JC Torralba, B Kramer, MT Tolley 2023 Southern California Robotics Symposium, 2023 | 1 | 2023 |
| Symplectic Accelerated Optimization on SO (3) with Lie Group Variational Integrators H Sharma, T Lee, M Patil, C Woolsey 2020 American Control Conference (ACC), 2826-2831, 2020 | 1 | 2020 |
| Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling N Galioto, H Sharma, B Kramer, AA Gorodetsky arXiv preprint arXiv:2401.12476, 2024 | | 2024 |
| Hermite-based, One-step, Variational and Galerkin Time Integrators for Mechanical Systems H Sharma, M Patil, C Woolsey arXiv preprint arXiv:2201.07327, 2022 | | 2022 |
| Structure-preserving Numerical Methods for Engineering Applications HA Sharma Virginia Tech, 2020 | | 2020 |
| Hermite Polynomial Based Variational and Galerkin Integrators for Forced Lagrangian Systems H Sharma, M Patil, C Woolsey 13th World Congress on Computational Mechanics, 2018 | | 2018 |
Boris KramerUniversity of California San DiegoVerified email at ucsd.edu
