Brownian yet non-Gaussian diffusion: from superstatistics to subordination of diffusing diffusivities
A growing number of biological, soft, and active matter systems are observed to exhibit
normal diffusive dynamics with a linear growth of the mean-squared displacement, yet with a …
normal diffusive dynamics with a linear growth of the mean-squared displacement, yet with a …
Machine learning-assisted discovery of solid Li-ion conducting materials
We discover many new crystalline solid materials with fast single crystal Li ion conductivity at
room temperature, discovered through density functional theory simulations guided by …
room temperature, discovered through density functional theory simulations guided by …
Hyporheic flow and transport processes: Mechanisms, models, and biogeochemical implications
Fifty years of hyporheic zone research have shown the important role played by the
hyporheic zone as an interface between groundwater and surface waters. However, it is only …
hyporheic zone as an interface between groundwater and surface waters. However, it is only …
Strong-field nano-optics
The present status and development of strong-field nano-optics, an emerging field of
nonlinear optics, is discussed. A nonperturbative regime of light-matter interactions is …
nonlinear optics, is discussed. A nonperturbative regime of light-matter interactions is …
Lévy walks
Random walk is a fundamental concept with applications ranging from quantum physics to
econometrics. Remarkably, one specific model of random walks appears to be ubiquitous …
econometrics. Remarkably, one specific model of random walks appears to be ubiquitous …
ctmm: an r package for analyzing animal relocation data as a continuous‐time stochastic process
JM Calabrese, CH Fleming… - Methods in Ecology and …, 2016 - Wiley Online Library
Movement ecology has developed rapidly over the past decade, driven by advances in
tracking technology that have largely removed data limitations. Development of rigorous …
tracking technology that have largely removed data limitations. Development of rigorous …
Classical dynamical density functional theory: from fundamentals to applications
Classical dynamical density functional theory (DDFT) is one of the cornerstones of modern
statistical mechanics. It is an extension of the highly successful method of classical density …
statistical mechanics. It is an extension of the highly successful method of classical density …
[HTML][HTML] Bayesian deep learning for error estimation in the analysis of anomalous diffusion
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion
in a wide variety of systems, from single-molecule motion in living-cells to movement …
in a wide variety of systems, from single-molecule motion in living-cells to movement …
Osmosis, from molecular insights to large-scale applications
Osmosis is a universal phenomenon occurring in a broad variety of processes and fields. It
is the archetype of entropic forces, both trivial in its fundamental expression–the van't Hoff …
is the archetype of entropic forces, both trivial in its fundamental expression–the van't Hoff …