Publications of Pawan Kumar Goyal
All genres
Journal Article (32)
1.
Journal Article
149, 110360 (2025)
A Robust Sparse Identification of Nonlinear Dynamics Approach by Combining Neural Networks and an Integral Form. Engineering Applications of Artificial Intelligence 2.
Journal Article
6 (1), 015063 (2025)
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. Machine Learning: Science and Technology 3.
Journal Article
Structure-Preserving Learning for Multi-Symplectic PDEs. Advanced Modeling and Simulation in Engineering Sciences (accepted)
4.
Journal Article
32, 063301,90 pages (2024)
Roadmap on Data-Centric Materials Science. Modelling and Simulation in Materials Science and Engineering 5.
Journal Article
50, 88 (2024)
Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems. Advances in Computational Mathematics 6.
Journal Article
125 (15), e7496 (2024)
Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction. International Journal for Numerical Methods in Engineering 7.
Journal Article
45 (2), pp. 1035 - 1053 (2024)
Parameterized Interpolation of Passive Systems. SIAM Journal on Matrix Analysis and Applications 8.
Journal Article
463, 134158 (2024)
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. Physica D: Nonlinear Phenomena 9.
Journal Article
46 (3), pp. A1879 - A1902 (2024)
Rank-Minimizing and Structured Model Inference. SIAM Journal on Scientific Computing 10.
Journal Article
50, 42 (2024)
Dominant Subspaces of High-Fidelity Polynomial Structured Parametric Dynamical Systems and Model Reduction. Advances in Computational Mathematics 11.
Journal Article
5 (2), pp. 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 12.
Journal Article
200, 110620 (2023)
An Operator Inference Oriented Approach for Linear Mechanical Systems. Mechanical Systems and Signal Processing 13.
Journal Article
10, 221475 (2023)
Neural Ordinary Differential Equations with Irregular and Noisy Data. Royal Society Open Science 14.
Journal Article
9, 37 (2023)
An Artificial Neural Network for Surrogate Modeling of Stress Fields in Viscoplastic Polycrystalline Materials. npj Computational Materials 15.
Journal Article
56, pp. 28 - 51 (2022)
Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. Electronic Transactions on Numerical Analysis: Special Issue SciML 16.
Journal Article
67 (2), pp. 886 - 893 (2022)
Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs. IEEE Transactions on Automatic Control 17.
Journal Article
56, pp. 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 18.
Journal Article
3, e16 (2022)
A Greedy Data Collection Scheme For Linear Dynamical Systems. Data-Centric Engineering 19.
Journal Article
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 20.
Journal Article
43 (1), pp. A84 - A108 (2021)
Interpolation-Based Model Order Reduction for Polynomial Systems. SIAM Journal on Scientific Computing