Publikationen von Pawan Kumar Goyal
Alle Typen
Zeitschriftenartikel (32)
2025
Zeitschriftenartikel
149, 110360 (2025)
A Robust Sparse Identification of Nonlinear Dynamics Approach by Combining Neural Networks and an Integral Form. Engineering Applications of Artificial Intelligence
Zeitschriftenartikel
6 (1), 015063 (2025)
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. Machine Learning: Science and Technology
Zeitschriftenartikel
Structure-Preserving Learning for Multi-Symplectic PDEs. Advanced Modeling and Simulation in Engineering Sciences (angenommen)
2024
Zeitschriftenartikel
32, 063301,90 pages (2024)
Roadmap on Data-Centric Materials Science. Modelling and Simulation in Materials Science and Engineering
Zeitschriftenartikel
50, 88 (2024)
Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems. Advances in Computational Mathematics
Zeitschriftenartikel
125 (15), e7496 (2024)
Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction. International Journal for Numerical Methods in Engineering
Zeitschriftenartikel
45 (2), S. 1035 - 1053 (2024)
Parameterized Interpolation of Passive Systems. SIAM Journal on Matrix Analysis and Applications
Zeitschriftenartikel
463, 134158 (2024)
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. Physica D: Nonlinear Phenomena
Zeitschriftenartikel
46 (3), S. A1879 - A1902 (2024)
Rank-Minimizing and Structured Model Inference. SIAM Journal on Scientific Computing
Zeitschriftenartikel
50, 42 (2024)
Dominant Subspaces of High-Fidelity Polynomial Structured Parametric Dynamical Systems and Model Reduction. Advances in Computational Mathematics
Zeitschriftenartikel
5 (2), S. 45 - 71 (2024)
Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftings. Journal of Machine Learning for Modeling and Computing 2023
Zeitschriftenartikel
200, 110620 (2023)
An Operator Inference Oriented Approach for Linear Mechanical Systems. Mechanical Systems and Signal Processing
Zeitschriftenartikel
10, 221475 (2023)
Neural Ordinary Differential Equations with Irregular and Noisy Data. Royal Society Open Science
Zeitschriftenartikel
9, 37 (2023)
An Artificial Neural Network for Surrogate Modeling of Stress Fields in Viscoplastic Polycrystalline Materials. npj Computational Materials 2022
Zeitschriftenartikel
56, S. 28 - 51 (2022)
Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. Electronic Transactions on Numerical Analysis: Special Issue SciML
Zeitschriftenartikel
67 (2), S. 886 - 893 (2022)
Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs. IEEE Transactions on Automatic Control
Zeitschriftenartikel
56, S. 102 - 116 (2022)
A Non-Intrusive Method to Inferring Linear Port-Hamiltonian Realizations using Time-Domain Data. Electronic Transactions on Numerical Analysis: Special Issue SciML
Zeitschriftenartikel
3, e16 (2022)
A Greedy Data Collection Scheme For Linear Dynamical Systems. Data-Centric Engineering
Zeitschriftenartikel
478 (2262), 20210883 (2022)
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach. Proceedings of the Royal Society A 2021
Zeitschriftenartikel
43 (1), S. A84 - A108 (2021)
Interpolation-Based Model Order Reduction for Polynomial Systems. SIAM Journal on Scientific Computing