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Maximilian Eggl
Maximilian Eggl
Institute of Neuroscience CSIC-UMH, Alicante
Verified email at csic.es
Title
Cited by
Cited by
Year
Mixing enhancement in binary fluids using optimised stirring strategies
MF Eggl, PJ Schmid
Journal of Fluid Mechanics 899, A24, 2020
212020
A gradient-based framework for maximizing mixing in binary fluids
MF Eggl, PJ Schmid
Journal of Computational Physics 368, 131-153, 2018
122018
Mixing by stirring: Optimizing shapes and strategies
MF Eggl, PJ Schmid
Physical Review Fluids 7 (7), 073904, 2022
112022
A parallel-in-time approach for accelerating direct-adjoint studies
CS Skene, MF Eggl, PJ Schmid
Journal of Computational Physics 429, 110033, 2021
92021
Shape optimization of stirring rods for mixing binary fluids
MF Eggl, PJ Schmid
IMA Journal of Applied Mathematics 85 (5), 762-789, 2020
72020
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
52022
A quantitative rule to explain multi-spine plasticity
TE Chater, MF Eggl, Y Goda, T Tchumatchenko
BioRxiv, 2022.07. 04.498706, 2022
32022
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
22023
Controlling Unknown Linear Dynamics with Almost Optimal Regret
J Carruth, MF Eggl, C Fefferman, CW Rowley
arXiv preprint arXiv:2309.10142, 2023
22023
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
12023
Almost Optimal Agnostic Control of Unknown Linear Dynamics
J Carruth, MF Eggl, C Fefferman, CW Rowley
arXiv preprint arXiv:2403.06320, 2024
2024
Linking spontaneous and stimulated spine dynamics
MF Eggl, TE Chater, J Petkovic, Y Goda, T Tchumatchenko
Communications Biology 6 (1), 930, 2023
2023
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
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Articles 1–18