Results 11 to 20 of about 2,118,011 (294)

Diffusing Diffusivity: A Model for Anomalous, yet Brownian, Diffusion [PDF]

open access: yesPhysical Review Letters, 2014
Wang et al. [Proc. Natl. Acad. Sci. U.S.A. 106, 15160 (2009)] have found that in several systems the linear time dependence of the mean-square displacement (MSD) of diffusing colloidal particles, typical of normal diffusion, is accompanied by a non-Gaussian displacement distribution G(x,t), with roughly exponential tails at short times, a situation ...
Mykyta V, Chubynsky, Gary W, Slater
openaire   +2 more sources

A Diffusion Approximation for an Epidemic Model [PDF]

open access: yes, 2006
Influenza is one of the most common and severe diseases worldwide. Devastating epidemics actuated by a new subtype of the influenza A virus occur again and again with the most important example given by the Spanish Flu in 1918/19 with more than 27 ...
Dargatz, Christiane
core   +3 more sources

A Noise-Robust Blind Deblurring Algorithm With Wavelet-Enhanced Diffusion Model for Optical Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Blind deblurring of optical remote sensing images has been a longstanding challenge. In recent years, many learning-based deblurring algorithms have been greatly developed.
Zhiyuan Li   +4 more
doaj   +1 more source

Fluctuations and scaling in models for particle aggregation

open access: yes, 2005
We consider two sequential models of deposition and aggregation for particles. The first model (No Diffusion) simulates surface diffusion through a deterministic capture area, while the second (Sequential Diffusion) allows the atoms to diffuse up to \ell
Ahr   +33 more
core   +3 more sources

Random diffusion model

open access: yesPhysical Review E, 2008
We study here the random diffusion model. This is a continuum model for a conserved scalar density field $ $ driven by diffusive dynamics. The interesting feature of the dynamics is that the {\it bare} diffusion coefficient $D$ is density dependent. In the simplest case $D=\bar{D}+D_{1} $ where $\bar{D}$ is the constant average diffusion constant ...
openaire   +3 more sources

Testing the drift-diffusion model [PDF]

open access: yesProceedings of the National Academy of Sciences, 2020
SignificanceThe drift-diffusion model (DDM) has been widely used in psychology and neuroeconomics to explain observed patterns of choices and response times. This paper provides an identification and characterization theorems for this model: We show that the parameters are uniquely pinned down and determine which datasets are consistent with some form ...
Drew Fudenberg   +3 more
openaire   +3 more sources

Diversified Image Inpainting With Transformers and Denoising Iterative Refinement

open access: yesIEEE Access
Image inpainting is a long-standing key problem in the field of computer vision, which aims to fill the missing parts of an image with visually realistic and semantically appropriate content.
Shuzhen Xu   +4 more
doaj   +1 more source

Prompt Conditioned Batik Pattern Generation Using LoRA Weighted Diffusion Model With Classifier-Free Guidance

open access: yesIEEE Access
Batik, a significant element of Indonesian cultural heritage, is renowned for its intricate patterns and profound philosophical meanings. While preserving traditional batik is crucial, the creation of modern patterns is equally encouraged to keep the art
Rahmatulloh Daffa Izzuddin Wahid   +5 more
doaj   +1 more source

A Reduced-Order Model of Heat Transfer Effects on the Dynamics of Bubbles [PDF]

open access: yes, 2002
The Rayleigh-Plesset equation has been used extensively to model spherical bubble dynamics, yet it has been shown that it cannot correctly capture damping effects due to mass and thermal diffusion.
Brennen, C. E.   +2 more
core   +1 more source

Data acquisition system for OLED defect detection and augmentation of system data through diffusion model

open access: yesJournal of Information Display
This paper presents a system and model for data acquisition and augmentation in OLED panel defect detection to improve detection efficiency. It addresses the challenges of data scarcity, data acquisition difficulties, and classification of different ...
Byungjoon Kim, Yongduek Seo
doaj   +1 more source

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