| Hierarchical Boltzmann simulations and model error estimation M Torrilhon, N Sarna Journal of Computational Physics 342, 66-84, 2017 | 38 | 2017 |
| On stable wall boundary conditions for the Hermite discretization of the linearised Boltzmann equation N Sarna, M Torrilhon Journal of Statistical Physics 170, 101-126, 2018 | 28 | 2018 |
| Data-driven model order reduction for problems with parameter-dependent jump-discontinuities N Sarna, P Benner Computer Methods in Applied Mechanics and Engineering 387, 114168, 2021 | 15 | 2021 |
| Stable boundary conditions and discretization for PN equations J Bünger, N Sarna, M Torrilhon arXiv preprint arXiv:2004.02497, 2020 | 13 | 2020 |
| Convergence Analysis of Grad's Hermite Expansion for Linear Kinetic Equations N Sarna, J Giesselmann, M Torrilhon SIAM Journal of Numerical Analysis 58 (2), 1164–1194, 2020 | 11 | 2020 |
| Entropy stable Hermite approximation of the linearised Boltzmann equation for inflow and outflow boundaries N Sarna, M Torrilhon Journal of Computational Physics 369, 16-44, 2018 | 11 | 2018 |
| Hyper-reduction for parametrized transport dominated problems via online-adaptive reduced meshes N Sarna, S Grundel arXiv preprint arXiv:2003.06362, 2020 | 9* | 2020 |
| Data-driven snapshot calibration via monotonic feature matching N Sarna, J Giesselmann, P Benner Finite Elements in Analysis and Design 230, 104065, 2024 | 4 | 2024 |
| Simultaneous-approximation-term based boundary discretization for moment equations of rarefied gas dynamics N Sarna, H Kapadia, M Torrilhon Journal of Computational Physics 407, 109243, 2020 | 4 | 2020 |
| Moment Method for the Boltzmann Equation of Reactive Quaternary Gaseous Mixture N Sarna, G Oblapenko, M Torrilhon Physica A: Statistical Mechanics and its Applications 574 (125874), 2021 | 3 | 2021 |
| Grad’s moment equations for binary hard sphere gas-mixtures VK Gupta, N Sarna, M Torrilhon Proceedings of 4th Micro and Nano Flows Conference (MNF2014), University …, 2014 | 3 | 2014 |
| Distribution-free risk assessment of regression-based machine learning algorithms S Singh, N Sarna, Y Li, Y Li, A Orfanoudaki, M Berger arXiv preprint arXiv:2310.03545, 2023 | 2 | 2023 |
| On the moments of the Boltzmann’s collision operator arising from chemical reactions N Sarna, M Torrilhon AIP Conference Proceedings 1786 (1), 2016 | 2 | 2016 |
| Learning reduced order models from data for hyperbolic PDEs N Sarna, P Benner arXiv preprint arXiv:2109.06156, 2021 | 1 | 2021 |
| A Positive and Stable L2-minimization Based Moment Method for the Boltzmann Equation of Gas dynamics N Sarna Journal of Computational Physics 440, 2021 | 1 | 2021 |
| Quantifying Correlations of Machine Learning Models Y Li, N Sarna, Y Lin arXiv preprint arXiv:2502.03937, 2025 | | 2025 |
| An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms D Ghandwani, N Sarna, Y Li, Y Lin arXiv preprint arXiv:2412.04166, 2024 | | 2024 |
| Hyper-reduction for parametrized transport dominated problems via adaptive reduced meshes S Grundel, N Sarna Partial Differential Equations and Applications 5 (1), 3, 2024 | | 2024 |
| Stable Boundary Conditions and Discretization for PN Equations J Bünger, N Sarna, M Torrilhon Journal of Computational Mathematics 40 (6), 2022 | | 2022 |