2023
- Convolutional autoencoder for the spatiotemporal latent representation of turbulence. , 2023 mehr… BibTeX Volltext ( DOI )
- Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. In: Computational Science – ICCS 2023. Springer Nature Switzerland, 2023 mehr… BibTeX Volltext ( DOI )
- Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics. Annual Review of Fluid Mechanics 55 (1), 2023, 541-574 mehr… BibTeX Volltext ( DOI )
- Predicting turbulent dynamics with the convolutional autoencoder echo state network. Journal of Fluid Mechanics 975, 2023 mehr… BibTeX Volltext ( DOI )
2022
- Gradient-free optimization of chaotic acoustics with reservoir computing. Physical Review Fluids 7 (1), 2022 mehr… BibTeX Volltext ( DOI )
- A physical model for indirect noise in non-isentropic nozzles: transfer functions and stability. Journal of Fluid Mechanics 935, 2022 mehr… BibTeX Volltext ( DOI )
- Sound Generation in Multicomponent Nozzle Flows With Dissipation. Journal of Engineering for Gas Turbines and Power 145 (5), 2022 mehr… BibTeX Volltext ( DOI )
- Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems. , 2022 mehr… BibTeX Volltext ( DOI )
- Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems. , 2022 mehr… BibTeX
- On interpretability and proper latent decomposition of autoencoders. , 2022 mehr… BibTeX Volltext ( DOI )
- Statistical prediction of extreme events from small datasets. , 2022 mehr… BibTeX Volltext ( DOI )
- Data-driven prediction and control of extreme events in a chaotic flow. , 2022 mehr… BibTeX Volltext ( DOI )
- A Hybrid Adjoint Network Model for Thermoacoustic Optimization. Journal of Engineering for Gas Turbines and Power 144 (3), 2022 mehr… BibTeX Volltext ( DOI )
- A Hybrid Adjoint Network Model for Thermoacoustic Optimization. Journal of Engineering for Gas Turbines and Power 144 (3), 2022 mehr… BibTeX Volltext ( DOI )
2021
- Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477 (2253), 2021, 20210135 mehr… BibTeX Volltext ( DOI )
- Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477 (2253), 2021, 20210135 mehr… BibTeX Volltext ( DOI )
- Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477 (2253), 2021, 20210135 mehr… BibTeX Volltext ( DOI )
- Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis. Proceedings of the Combustion Institute 38 (4), 2021, 5415-5422 mehr… BibTeX Volltext ( DOI )
- Autoencoded Reservoir Computing for the Spatio-Temporal Prediction of a Turbulent Flow. APS Division of Fluid Dynamics Meeting Abstracts (APS Meeting Abstracts), 2021 mehr… BibTeX
- Auto-Encoded Reservoir Computing for Turbulence Learning. 2021 mehr… BibTeX
- Auto-Encoded Reservoir Computing for Turbulence Learning. In: Computational Science – ICCS 2021. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )
- Auto-Encoded Reservoir Computing for Turbulence Learning. In: Computational Science – ICCS 2021. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )
- Gradient-free optimization of chaotic acoustics with reservoir computing. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
- An a priori assessment of the Partially Stirred Reactor (PaSR) model for MILD combustion. Proceedings of the Combustion Institute 38 (4), 2021, 5403-5414 mehr… BibTeX Volltext ( DOI )
- A physical model for indirect noise in non-isentropic nozzles: Transfer functions and stability. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
- Chaotic systems learning with hybrid echo state network/proper orthogonal decomposition based model. Data-Centric Engineering 2, 2021 mehr… BibTeX Volltext ( DOI )
- Chaotic systems learning with hybrid echo state network/proper orthogonal decomposition based model. Data-Centric Engineering 2, 2021 mehr… BibTeX Volltext ( DOI )
- Real-time thermoacoustic data assimilation. arXiv, 2021 mehr… BibTeX Volltext ( DOI )
- Real-time thermoacoustic data assimilation. , 2021 mehr… BibTeX Volltext ( DOI )
- Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Neural Networks 142, 2021, 252-268 mehr… BibTeX Volltext ( DOI )
- Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Neural Networks 142, 2021, 252-268 mehr… BibTeX Volltext ( DOI )
- Automatic-differentiated Physics-Informed Echo State Network (API-ESN). In: Computational Science – ICCS 2021. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )
- Automatic-differentiated Physics-Informed Echo State Network (API-ESN). In: Computational Science – ICCS 2021. Springer International Publishing, 2021 mehr… BibTeX Volltext ( DOI )
- A Hybrid Adjoint Network Model for Thermoacoustic Optimization. Volume 3B: Combustion, Fuels, and Emissions, American Society of Mechanical Engineers, 2021 mehr… BibTeX Volltext ( DOI )
- Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron. Proceedings of the Combustion Institute 38 (4), 2021, 6261-6269 mehr… BibTeX Volltext ( DOI )
- A data-driven kinematic model of a ducted premixed flame. Proceedings of the Combustion Institute 38 (4), 2021, 6231-6239 mehr… BibTeX Volltext ( DOI )
2020
- Physics-informed echo state networks. Journal of Computational Science 47, 2020, 101237 mehr… BibTeX Volltext ( DOI )
- Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. In: Lecture Notes in Computer Science. Springer International Publishing, 2020 mehr… BibTeX Volltext ( DOI )
- Learning Ergodic Averages in Chaotic Systems. In: Lecture Notes in Computer Science. Springer International Publishing, 2020 mehr… BibTeX Volltext ( DOI )
- Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequential Data Assimilation. In: Data Analysis for Direct Numerical Simulations of Turbulent Combustion. Springer International Publishing, 2020 mehr… BibTeX Volltext ( DOI )
- Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. 2020 mehr… BibTeX
- Degenerate perturbation theory in thermoacoustics: high-order sensitivities and exceptional points. Journal of Fluid Mechanics 903, 2020 mehr… BibTeX Volltext ( DOI )
- Microstrain Alleviation in High-Energy Ni-Rich NCMA Cathode for Long Battery Life. ACS Energy Letters 6 (1), 2020, 216-223 mehr… BibTeX Volltext ( DOI )
2019
- A physics-aware machine to predict extreme events in turbulence. 2019 mehr… BibTeX
- Physics-Informed Echo State Networks for Chaotic Systems Forecasting. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 mehr… BibTeX Volltext ( DOI )
- Interpretability within a level-set data assimilation framework. SIAM Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, 2019 mehr… BibTeX
- Physics-informed data-driven prediction of turbulent reacting flows with Lyapunov analysis and sequential data assimilation. In: Apollo - University of Cambridge Repository, 2019 mehr… BibTeX Volltext ( DOI )
- Physics-Informed Echo State Networks for the Prediction of Extreme Events in Turbulent Shear Flows. 72nd Annual Meeting of the APS Division of Fluid Dynamics, 2019 mehr… BibTeX
- A physics-aware machine to predict extreme events in turbulence. 2019 mehr… BibTeX
- Filtered Reaction Rate Modelling in Moderate and High Karlovitz Number Flames: an a Priori Analysis. Flow, Turbulence and Combustion 103 (3), 2019, 643-665 mehr… BibTeX Volltext ( DOI )
- Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 mehr… BibTeX Volltext ( DOI )
- Data Assimilation and Optimal Calibration in Nonlinear Models of Flame Dynamics. Journal of Engineering for Gas Turbines and Power 141 (12), 2019 mehr… BibTeX Volltext ( DOI )
- Data Assimilation and Optimal Calibration in Nonlinear Models of Flame Dynamics. Volume 4B: Combustion, Fuels, and Emissions, American Society of Mechanical Engineers, 2019 mehr… BibTeX Volltext ( DOI )
- Combined state and parameter estimation in level-set methods. Journal of Computational Physics 399, 2019, 108950 mehr… BibTeX Volltext ( DOI )
2018
- A Bayesian Approach for Predicting Thermoacoustic Oscillations in an Electrically-Heated Rijke Tube. 71st Annual Meeting of the APS Division of Fluid Dynamics, 2018 mehr… BibTeX
- Data assimilation and parameter estimation of thermoacoustic instabilities in a ducted premixed flame. 71st Annual Meeting of the APS Division of Fluid Dynamics, 2018 mehr… BibTeX
- Data assimilation in thermoacoustic instability with Lagrangian optimization. EuroMech Vienna, 2018 mehr… BibTeX