Mixing enhancement in binary fluids using optimised stirring strategies MF Eggl, PJ Schmid Journal of Fluid Mechanics 899, A24, 2020 | 21 | 2020 |
Mixing by stirring: Optimizing shapes and strategies MF Eggl, PJ Schmid Physical Review Fluids 7 (7), 073904, 2022 | 13 | 2022 |
A gradient-based framework for maximizing mixing in binary fluids MF Eggl, PJ Schmid Journal of Computational Physics 368, 131-153, 2018 | 12 | 2018 |
A parallel-in-time approach for accelerating direct-adjoint studies CS Skene, MF Eggl, PJ Schmid Journal of Computational Physics 429, 110033, 2021 | 10 | 2021 |
Shape optimization of stirring rods for mixing binary fluids MF Eggl, PJ Schmid IMA Journal of Applied Mathematics 85 (5), 762-789, 2020 | 7 | 2020 |
Controlling unknown linear dynamics with bounded multiplicative regret J Carruth, MF Eggl, C Fefferman, CW Rowley, M Weber Revista matemática iberoamericana 38 (7), 2185-2216, 2022 | 5 | 2022 |
A quantitative rule to explain multi-spine plasticity TE Chater, MF Eggl, Y Goda, T Tchumatchenko BioRxiv, 2022.07. 04.498706, 2022 | 3 | 2022 |
Optimal agnostic control of unknown linear dynamics in a bounded parameter range J Carruth, MF Eggl, C Fefferman, CW Rowley arXiv preprint arXiv:2309.10138, 2023 | 2 | 2023 |
Controlling unknown linear dynamics with almost optimal regret J Carruth, MF Eggl, C Fefferman, CW Rowley arXiv preprint arXiv:2309.10142, 2023 | 2 | 2023 |
Linking spontaneous and stimulated spine dynamics MF Eggl, TE Chater, J Petkovic, Y Goda, T Tchumatchenko Communications Biology 6 (1), 930, 2023 | 2 | 2023 |
A framework for the emergence and analysis of language in social learning agents TJ Wieczorek, T Tchumatchenko, CW Carvajal, MF Eggl arXiv preprint arXiv:2305.02632, 2023 | 1 | 2023 |
Almost Optimal Agnostic Control of Unknown Linear Dynamics J Carruth, MF Eggl, C Fefferman, CW Rowley arXiv preprint arXiv:2403.06320, 2024 | | 2024 |
SpyDen: Automating molecular and structural analysis across spines and dendrites MF Eggl, S Wagle, JP Filling, TE Chater, Y Goda, T Tchumatchenko bioRxiv, 2024.06. 07.597872, 2024 | | 2024 |
A parallel-in-time approach for accelerating direct-adjoint computations M Eggl, C Skene, P Schmid APS Division of Fluid Dynamics Meeting Abstracts, F10. 002, 2020 | | 2020 |
Shape optimization of stirrers for mixing binary fluids M Eggl, P Schmid APS Division of Fluid Dynamics Meeting Abstracts, H26. 006, 2019 | | 2019 |
Adjoint-based mixing enhancement for binary fuids M Eggl Imperial College London, 2019 | | 2019 |
Optimization of mixing in stirred, binary fluids M Eggl, P Schmid Bulletin of the American Physical Society 63, 2018 | | 2018 |
Accelerating direct-adjoint studies using a parallel-in-time approach C Skene, M Eggl, P Schmid Bulletin of the American Physical Society 63, 2018 | | 2018 |
An adjoint-based framework for maximizing mixing in binary fluids M Eggl, P Schmid APS Division of Fluid Dynamics Meeting Abstracts, D31. 005, 2017 | | 2017 |