Research
Statistical physics, soft matter, stochastic processes, Bayesian inference, machine learning. Research publications on scholar.google.co.uk/citations
Teaching
Mathematical Biology | 2018-2021
Electrodynamics | 2021 - 2023
Publications
Stochastic action for tubes: Connecting path probabilities to measurement
– Physical Review Research
(2020)
2,
023407
Periodic Orbits of Active Particles Induced by Hydrodynamic Monopoles
– Physical review letters
(2020)
124,
088003
Competing chemical and hydrodynamic interactions in autophoretic colloidal suspensions.
– The Journal of Chemical Physics
(2019)
151,
044901
(doi: 10.1063/1.5090179)
Correction to "Linking Catalyst-Coated Isotropic Colloids into 'Active' Flexible Chains Enhances their Diffusivity".
– ACS Nano
(2019)
13,
7357
(doi: 10.1021/acsnano.9b03970)
Internal friction controls active ciliary oscillations near the instability threshold
– Science Advances 6 (33), eabb0503 (2020)
(2019)
Electrohydrodynamic Assembly of Ambient Ion-Derived Nanoparticles to Nanosheets at Liquid Surfaces
– Journal of Physical Chemistry C
(2018)
122,
17777
(doi: 10.1021/acs.jpcc.8b04169)
Fast Bayesian inference of the multivariate Ornstein-Uhlenbeck process.
– Physical review. E
(2018)
98,
012136
(doi: 10.1103/PhysRevE.98.012136)
Flow-induced phase separation of active particles is controlled by boundary conditions.
– Proceedings of the National Academy of Sciences
(2018)
115,
5403
(doi: 10.1073/pnas.1718807115)
Redox reaction Triggered nanomotors based on soft-oxometalates with high and sustained motility
– Frontiers in Chemistry
(2018)
6,
152
(doi: 10.3389/fchem.2018.00152)
Generalized Stokes laws for active colloids and their applications
– Journal of Physics Communications
(2018)
2,
025025
(doi: 10.1088/2399-6528/aaab0d)
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