Results 71 to 80 of about 1,340 (226)

Optimizing Stratification in Binary Colloidal Supraparticles

open access: yesAdvanced Science, EarlyView.
Supraparticles from binary particle populations show stratification when dried at high Péclet numbers. In spray‐dried systems at high initial particle concentration and fast drying conditions optimal combinations of particle size ratios and volume fractions that produce maximal stratification are found both in experiment and simulation, contrasting the
Frederic Rudlof   +5 more
wiley   +1 more source

Non-Linear Langevin and Fractional Fokker–Planck Equations for Anomalous Diffusion by Lévy Stable Processes

open access: yesEntropy, 2018
The numerical solutions to a non-linear Fractional Fokker–Planck (FFP) equation are studied estimating the generalized diffusion coefficients. The aim is to model anomalous diffusion using an FFP description with fractional velocity derivatives and
Johan Anderson, Sara Moradi, Tariq Rafiq
doaj   +1 more source

Fractional Langevin equation from damped bath dynamics [PDF]

open access: yesPhysical Review E, 2019
We consider the stochastic dynamics of a system linearly coupled to a hierarchical thermal bath with two well-separated inherent timescales: one slow, and one fast. The slow part of the bath is modeled as a set of harmonic oscillators and taken into account explicitly, while the effects of the fast part of the bath are simulated by dissipative and ...
openaire   +3 more sources

On the nonlocal Katugampola fractional integral conditions for fractional Langevin equation [PDF]

open access: yesAdvances in Difference Equations, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thaiprayoon, Chatthai   +2 more
openaire   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Numerical approximation and fast evaluation of the overdamped generalized Langevin equation with fractional noise

open access: yes, 2020
The generalized Langevin equation (GLE) is a stochastic integro-differential equation that has been used to describe the movement of microparticles with sub-diffusion phenomenon.
Lei Li, Di Fang
core   +1 more source

Mechanisms of Alkali Ionic Transport in Amorphous Oxyhalides Solid State Conductors

open access: yesAdvanced Energy Materials, EarlyView.
Large‐scale machine learning‐based molecular dynamics simulations are used to investigate isovalent amorphous oxyhalides, revealing a remarkable chemically independent ionic conductivity. A rigorous analysis of alkali residence times across different metal–anion environments identifies divalent anions as key diffusion bottlenecks.
Luca Binci   +3 more
wiley   +1 more source

Langevin equation and fractional dynamics

open access: yes, 2018
PhD thesis; 135 pages; defended on May 2018 at Wroclaw University of Science and Technology; advisors: Ralf Metzler, Marcin Magdziarz; reviewers: Tomasz Komorowski, Igor ...
openaire   +2 more sources

Fractional Langevin equation far from equilibrium: Riemann-Liouville fractional Brownian motion, spurious nonergodicity, and aging

open access: yes
We consider the fractional Langevin equation far from equilibrium (FLEFE) to describe stochastic dynamics which do not obey the fluctuation-dissipation theorem, unlike the conventional fractional Langevin equation (FLE).
Metzler, R.   +4 more
core   +3 more sources

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang   +16 more
wiley   +1 more source

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