| On the transfer of damage detectors between structures: An experimental case study LA Bull, PA Gardner, N Dervilis, E Papatheou, M Haywood-Alexander, ... Journal of Sound and Vibration 501, 116072, 2021 | 60 | 2021 |
| Structured machine learning tools for modelling characteristics of guided waves M Haywood-Alexander, N Dervilis, K Worden, EJ Cross, RS Mills, ... Mechanical Systems and Signal Processing 156, 107628, 2021 | 31 | 2021 |
| Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications M Haywood-Alexander, W Liu, K Bacsa, Z Lai, E Chatzi Data-Centric Engineering 5 (e30), 2024 | 14* | 2024 |
| Informative bayesian tools for damage localisation by decomposition of lamb wave signals M Haywood-Alexander, N Dervilis, K Worden, G Dobie, TJ Rogers Journal of Sound and Vibration 535, 117063, 2022 | 13 | 2022 |
| Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods M Haywood-Alexander, RS Mills, MD Champneys, MR Jones, MS Bonney, ... Journal of Sound and Vibration 576, 118295, 2024 | 6 | 2024 |
| Investigating the effects of ambient temperature on feature consistency in vibration-based SHM TA Dardeno, M Haywood-Alexander, RS Mills, LA Bull, N Dervilis, ... STRUCTURAL HEALTH MONITORING 2021, 2021 | 6 | 2021 |
| Physics-informed neural networks for one-step-ahead prediction of dynamical systems M Haywood-Alexander, E Chatzi STRUCTURAL HEALTH MONITORING 2023, 2023 | 4 | 2023 |
| Virtual sensing for SHM: a comparison between Kalman filters and Gaussian processes E Papatheou, KE Tatsis, RS Battu, K Agathos, M Haywood-Alexander, ... Proceedings of ISMA2022 including USD2022, 3792-3803, 2023 | 4 | 2023 |
| Response estimation and system identification of dynamical systems via physics-informed neural networks M Haywood-Alexander, G Arcieri, A Kamariotis, E Chatzi arXiv preprint arXiv:2410.01340, 2024 | 2 | 2024 |
| Decomposition of multi-mode signals using dispersion curves and Bayesian linear regression M Haywood-Alexander, N Dervilis, K Worden, GB Dobie, TJ Rogers Health Monitoring of Structural and Biological Systems XV 11593, 280-291, 2021 | 2 | 2021 |
| Lamb wave mode separation using dispersion curves M Haywood-Alexander, K Worden, G Dobie, TJ Rogers, N Dervilis 8th International Conference on Uncertainty in Structural Dynamics (USD 2020), 2020 | 2 | 2020 |
| Physics Enhanced Machine Learning for Monitoring and Twinning M HAYWOOD-ALEXANDER, K BACSA, WEI LIU, Z LAI, E CHATZI STRUCTURAL HEALTH MONITORING 2023, 2023 | 1 | 2023 |
| A Bayesian Method for Material Identification of Composite Plates Via Dispersion Curves M Haywood-Alexander, N Dervilis, K Worden, RS Mills, P Ladpli, ... Sensors 23, 185, 2022 | 1 | 2022 |
| A Bayesian Approach to Lamb-Wave Dispersion Curve Material Identification in Composite Plates M Haywood-Alexander, N Dervilis, K Worden, TJ Rogers European Workshop on Structural Health Monitoring, 139-149, 2022 | 1 | 2022 |
| Transferring Damage Detectors Between Tailplane Experiments LA Bull, PA Gardner, N Dervilis, E Papatheou, M Haywood-Alexander, ... Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A …, 2022 | 1 | 2022 |
| Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications–CORRIGENDUM M Haywood-Alexander, W Liu, K Bacsa, Z Lai, E Chatzi Data-Centric Engineering 6, e8, 2025 | | 2025 |
| On the Application of Physics-Informed Neural-Networks for Identification and State Estimation of Vibrating Structures M Haywood-Alexander, E Chatzi International Operational Modal Analysis Conference, 642-651, 2024 | | 2024 |
| Modeling GPR observations on railway tracks via black box and physics informed neural networks T Rigoni, G Arcieri, M Haywood-Alexander, D Haener, E Chatzi ECCOMAS Congress 2024-9th European Congress on Computational Methods in …, 2024 | | 2024 |
| Cracked Plates Under Tensile Load; Simulated and Experimental M Haywood-Alexander, A Ramachandran, E Chatzi | | 2024 |
| PIDyNN-A Collection of Physics-Enhanced Neural Networks for Dynamics Systems M Haywood-Alexander | | 2024 |
Nikolaos DervilisUniversity of Sheffield, Dynamics Research Group, Sheffield, UKVerified email at sheffield.ac.uk
