Machine learning approach to model order reduction of nonlinear systems via autoencoder and LSTM networks T Simpson, N Dervilis, E Chatzi Journal of Engineering Mechanics 147 (10), 04021061, 2021 | 57 | 2021 |

Nonlinear modal analysis via non‐parametric machine learning tools N Dervilis, TE Simpson, DJ Wagg, K Worden Strain 55 (1), e12297, 2019 | 29 | 2019 |

Machine learning for energy load forecasting D Scott, T Simpson, N Dervilis, T Rogers, K Worden Journal of Physics: Conference Series 1106 (1), 012005, 2018 | 22 | 2018 |

Model order reduction for real-time hybrid simulation: Comparing polynomial chaos expansion and neural network methods N Tsokanas, T Simpson, R Pastorino, E Chatzi, B Stojadinović Mechanism and Machine Theory 178, 105072, 2022 | 10 | 2022 |

Towards data-driven real-time hybrid simulation: adaptive modeling of control plants T Simpson, VK Dertimanis, EN Chatzi Frontiers in Built Environment 6, 570947, 2020 | 9 | 2020 |

On the use of variational autoencoders for nonlinear modal analysis T Simpson, G Tsialiamanis, N Dervilis, K Worden, E Chatzi Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2022 | 8* | 2022 |

On the use of nonlinear normal modes for nonlinear reduced order modelling T Simpson, N Dervilis, E Chatzi arXiv preprint arXiv:2007.00466, 2020 | 8 | 2020 |

On dynamic substructuring of systems with localised nonlinearities T Simpson, D Giagopoulos, V Dertimanis, E Chatzi Dynamic Substructures, Volume 4: Proceedings of the 38th IMAC, A Conference …, 2021 | 5 | 2021 |

VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems T Simpson, K Vlachas, A Garland, N Dervilis, E Chatzi Scientific Reports 14 (1), 6091, 2024 | 3 | 2024 |

Reduced order modeling of non-linear monopile dynamics *via* an AE-LSTM schemeT Simpson, N Dervilis, P Couturier, N Maljaars, E Chatzi Frontiers in Energy Research 11, 1128201, 2023 | 3 | 2023 |

On the Potential of Dynamic Sub-structuring Methods for Model Updating T SIMPSON, V DERTIMANIS, C PAPADIMITRIOU, E CHATZI Structural Health Monitoring 2019, 2019 | 2 | 2019 |

A machine learning framework for alleviating bottlenecks of projection-based reduced order models K Vlachas, T Simpson, C Martinez, AR Brink, E Chatzi International Design Engineering Technical Conferences & Computers and …, 2021 | 1 | 2021 |

On the implementation of adaptive inverse control to virtual transfer systems T Simpson, VK Dertimanis, E Chatzi EURODYN 2020. Proceedings of the XI International Conference on Structural …, 2020 | 1 | 2020 |

Variational AutoEncoder (VAE) Boosted Parametric Reduced Order Modelling (pROM). K Vlachas, T Simpson, A Garland, C Martinez, D Quinn, E Chatzi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |

Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks T Simpson, N Dervilis, P Couturier, N Maljaars, E Chatzi arXiv preprint arXiv:2203.01842, 2022 | | 2022 |

A MACHINE LEARNING FRAMEWORK FOR ALLEVIATING BOTTLENECKS OF PROJECTION-BASED REDUCED ORDER MODELS. V Konstantinos, T Simpson, C Martinez, A Brink, E Chatzi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |