| Numerical investigation of three-dimensional separation in an axial flow compressor: the influence of freestream turbulence intensity and endwall boundary layer state AD Scillitoe, PG Tucker, P Adami Journal of Turbomachinery 139 (2), 021011, 2017 | 67 | 2017 |
| Evaluation of RANS and ZDES methods for the prediction of three-dimensional separation in axial flow compressors AD Scillitoe, PG Tucker, P Adami Turbo Expo: Power for Land, Sea, and Air 56642, V02BT39A041, 2015 | 27 | 2015 |
| An engineering development of a novel hexrotor vehicle for 3D applications D Langkamp, G Roberts, A Scillitoe, I Lunnon, A Llopis-Pascual, ... International Micro Air Vehicle conference and competitions 2011 (IMAV 2011 …, 2011 | 19 | 2011 |
| Effect of mesh quality on flux reconstruction in multi-dimensions W Trojak, R Watson, A Scillitoe, PG Tucker Journal of Scientific Computing 82 (3), 1-36, 2020 | 15 | 2020 |
| Large eddy simulation of boundary layer transition mechanisms in a gas-turbine compressor cascade AD Scillitoe, PG Tucker, P Adami Journal of Turbomachinery 141 (6), 2019 | 13 | 2019 |
| Modification of shear stress transport turbulence model using helicity for predicting corner separation flow in a linear compressor cascade Y Liu, Y Tang, AD Scillitoe, PG Tucker Journal of Turbomachinery 142 (2), 021004, 2020 | 9 | 2020 |
| Design space exploration of stagnation temperature probes via dimension reduction AD Scillitoe, B Ubald, P Seshadri, S Shahpar Turbo Expo: Power for Land, Sea, and Air 84089, V02CT35A057, 2020 | 7 | 2020 |
| Blade envelopes Part I: Concept and methodology CY Wong, P Seshadri, A Scillitoe, AB Duncan, G Parks Journal of Turbomachinery 144 (6), 061006, 2022 | 6 | 2022 |
| Blade envelopes Part II: Multiple objectives and inverse design CY Wong, P Seshadri, A Scillitoe, B Noel Ubald, AB Duncan, G Parks Journal of Turbomachinery 144 (6), 061007, 2022 | 5 | 2022 |
| Polynomial Ridge Flowfield Estimation A Scillitoe, P Seshadri, CY Wong, A Duncan arXiv preprint arXiv:2107.07547, 2021 | 3 | 2021 |
| Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests A Scillitoe, P Seshadri, M Girolami Journal of Computational Physiscs, 110116, 2021 | 3 | 2021 |
| Instantaneous flowfield estimation with Gaussian ridges AD Scillitoe, P Seshadri, CY Wong AIAA Scitech 2021 Forum, 1138, 2021 | 3 | 2021 |
| Separated flow prediction and assessment using LES and machine learning JC Tyacke, A Scillitoe AIP Conference Proceedings 2293 (1), 420093, 2020 | 1 | 2020 |
| Effect of Flux Function Order and Working Precision in Spectral Element Methods W Trojak, A Scillitoe, R Watson AIAA Scitech 2020 Forum, 0566, 2020 | 1 | 2020 |
| Towards predictive eddy resolving simulations for gas turbine compressors AD Scillitoe University of Cambridge, 2017 | 1 | 2017 |
| Propulsion System Design and Optimisation for the Tumbleweed Novel Autonomous Hexrotor Micro Air Vehicle AD Scillitoe Master of Engineering Master of Engineering, The University of Manchester, 2011 | 1 | 2011 |
| Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations CY Wong, P Seshadri, AB Duncan, A Scillitoe, G Parks arXiv preprint arXiv:2203.03508, 2022 | | 2022 |
| Programming with equadratures: an open-source package for uncertainty quantification, dimension reduction, and optimisation P Seshadri, CY Wong, AD Scillitoe, BN Ubald, B Hill, I Virdis, T Ghisu AIAA SCITECH 2022 Forum, 2108, 2022 | | 2022 |
| Identifying Flow Physics in Convolutional Layers A Scillitoe, P Seshadri APS Division of Fluid Dynamics Meeting Abstracts, R01. 037, 2020 | | 2020 |
| Modification of SST Turbulence Model Using Helicity for Predicting Corner Separation Flow in a Linear Compressor Cascade Y Liu, Y Tang, AD Scillitoe, PG Tucker | | 2019 |
Prof. P.G. TuckerRank Professor of Engineering, Cambridge UniversityVerified email at cam.ac.uk
