Learning force fields from stochastic trajectories
A Frishman, P Ronceray - Physical Review X, 2020 - APS
When monitoring the dynamics of stochastic systems, such as interacting particles agitated
by thermal noise, disentangling deterministic forces from Brownian motion is challenging …
by thermal noise, disentangling deterministic forces from Brownian motion is challenging …
Inferring scale-dependent non-equilibrium activity using carbon nanotubes
In living systems, irreversible, yet stochastic, molecular interactions form multiscale
structures (such as cytoskeletal networks), which mediate processes (such as cytokinesis …
structures (such as cytoskeletal networks), which mediate processes (such as cytokinesis …
Distribution of the time of the maximum for stationary processes
We consider a one-dimensional stationary stochastic process x (τ) of duration T. We study
the probability density function (PDF) P (tm| T) of the time tm at which x (τ) reaches its global …
the probability density function (PDF) P (tm| T) of the time tm at which x (τ) reaches its global …
Log-normal turbulence dissipation in global ocean models
B Pearson, B Fox-Kemper - Physical review letters, 2018 - APS
Data from turbulent numerical simulations of the global ocean demonstrate that the
dissipation of kinetic energy obeys a nearly log-normal distribution even at large horizontal …
dissipation of kinetic energy obeys a nearly log-normal distribution even at large horizontal …
Learning the non-equilibrium dynamics of Brownian movies
FS Gnesotto, G Gradziuk, P Ronceray… - Nature …, 2020 - nature.com
Time-lapse microscopy imaging provides direct access to the dynamics of soft and living
systems. At mesoscopic scales, such microscopy experiments reveal intrinsic thermal and …
systems. At mesoscopic scales, such microscopy experiments reveal intrinsic thermal and …
Heterogeneous out-of-equilibrium nonlinear -voter model with zealotry
We study the dynamics of the out-of-equilibrium nonlinear q-voter model with two types of
susceptible voters and zealots, introduced in Mellor et al.[Europhys. Lett. 113, 48001 (2016) …
susceptible voters and zealots, introduced in Mellor et al.[Europhys. Lett. 113, 48001 (2016) …
Nonequilibrium oscillations, probability angular momentum, and the climate system
Abstract Though the Boltzmann–Gibbs framework of equilibrium statistical mechanics has
been successful in many arenas, it is clearly inadequate for describing many interesting …
been successful in many arenas, it is clearly inadequate for describing many interesting …
Learning dynamical models from stochastic trajectories
P Ronceray - arXiv preprint arXiv:2406.02363, 2024 - arxiv.org
The dynamics of biological systems, from proteins to cells to organisms, is complex and
stochastic. To decipher their physical laws, we need to bridge between experimental …
stochastic. To decipher their physical laws, we need to bridge between experimental …
Autoregressive statistical modeling of a peru margin multi-proxy holocene record shows correlation not causation, flickering regimes and persistence
S Ahn, B Fox-Kemper, T Herbert, M Altabet… - Journal of Statistical …, 2020 - Springer
Correlation does not necessarily imply a causation, but in climatology and paleoclimatology,
correlation is used to identify potential cause-and-effect relationships because linking …
correlation is used to identify potential cause-and-effect relationships because linking …
Non-Equilibrium Statistical Mechanics of a Mixed Order Phase Transition in a Dynamical Network Model
M Ezzatabadipour - 2019 - search.proquest.com
NON-EQUILIBRIUM STATISTICAL MECHANICS OF A MIXED ORDER PHASE
TRANSITION IN A DYNAMICAL NETWORK MODEL Page 1 NON-EQUILIBRIUM …
TRANSITION IN A DYNAMICAL NETWORK MODEL Page 1 NON-EQUILIBRIUM …