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Nov 19, 2025 · Diffusion is a fundamental process describing the net movement of atoms or molecules from an area of higher concentration to an area of lower concentration. This passive movement …
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Oct 8, 2025 · Diffusion is a passive process where molecules move from an area of higher concentration to lower concentration until equilibrium is reached. It is vital for biological functions such as …
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Oct 4, 2019 · Diffusion is a physical process that refers to the net movement of molecules from a region of high concentration to one of lower concentration. The material that diffuses could be a solid, liquid …
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Nov 21, 2023 · Learn what is diffusion and what factors affect it. Find out when it occurs, its types and characteristics explained with examples and picture.
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Diffusion, process resulting from random motion of molecules by which there is a net flow of matter from a region of high concentration to a region of low concentration. A familiar example is the perfume of a …
arxiv.org/abs/1405.7358v1
We study the equilibrium points of a system of equations corresponding to a Bass based model that describes the diffusion of two brands in competition. To increase the understanding of the effects of the cross-brand parameters, we perform a sensitivi...
arxiv.org/abs/2106.08362v2
As the fundamental physical process with many astrophysical implications, the diffusion of cosmic rays (CRs) is determined by their interaction with magnetohydrodynamic (MHD) turbulence. We consider the magnetic mirroring effect arising from MHD turb...
arxiv.org/abs/2308.07977v4
Diffusion models in image Super-Resolution (SR) treat all image regions uniformly, which risks compromising the overall image quality by potentially introducing artifacts during denoising of less-complex regions. To address this, we propose ``You Onl...
arxiv.org/abs/2403.03881v4
Dataset distillation seeks to condense datasets into smaller but highly representative synthetic samples. While diffusion models now lead all generative benchmarks, current distillation methods avoid them and rely instead on GANs or autoencoders, or,...
arxiv.org/abs/2503.06558v2
Score-based diffusion models generate samples from an unknown target distribution using a time-reversed diffusion process. While such models represent state-of-the-art approaches in industrial applications such as artificial image generation, it has...
arxiv.org/abs/2512.00470v3
Diffusion models have demonstrated strong capabilities for modeling human-like driving behaviors in autonomous driving, but their iterative sampling process induces substantial latency, and operating directly on raw trajectory points forces the model...
arxiv.org/abs/0907.1856v2
We propose a computational method to simulate anomalous self-diffusion in a simple liquid. The method is based on a molecular dynamics simulation on which we impose the following two conditions: firstly, the inter-particle interaction is described...
arxiv.org/abs/2403.01302v1
In the paper, the initial-boundary value problems to a semilinear integro-differential equation with multi-term fractional Caputo derivatives are analyzed. A particular case of this equation models oxygen diffusion through capillaries. Under proper a...
arxiv.org/abs/2501.00807v1
This paper aims at understanding the longtime behaviors of a reducible cooperative system with nonlocal diffusions and different free boundaries, describing the interactions of two mutually beneficial species. Compared with the irreducible and monost...
arxiv.org/abs/2406.08850v2
Video editing is an emerging task, in which most current methods adopt the pre-trained text-to-image (T2I) diffusion model to edit the source video in a zero-shot manner. Despite extensive efforts, maintaining the temporal consistency of edited video...
arxiv.org/abs/nucl-th/0206068v1
Nous avons analyse les distributions angulaires de la diffusion elastique pour differents systemes a des energies proches de la barriere de Coulomb au moyen d'un potentiel semi phenomenologique. Les distributions radiales calculees au moyen de ces...
arxiv.org/abs/math/0210118v1
If X is a d-dimensional uniformly elliptic diffusion, with initial law nu, we show that F(X) is a Dirichlet process, whenever F satisfies an integrability condition linking its weak derivative to the coefficients of the diffusion and the initial la...
arxiv.org/abs/2310.04608v2
Biophysical modeling of diffusion MRI (dMRI) offers the exciting potential of bridging the gap between the macroscopic MRI resolution and microscopic cellular features, effectively turning the MRI scanner into a noninvasive in vivo microscope. In bra...
arxiv.org/abs/2502.02941v1
Diffusion models have recently advanced Combinatorial Optimization (CO) as a powerful backbone for neural solvers. However, their iterative sampling process requiring denoising across multiple noise levels incurs substantial overhead. We propose to l...
arxiv.org/abs/1404.0920v1
Let $u(t,\mathbf{x}),\ t>0,\ \mathbf{x}\in \mathbb{R}^{n},$ be the spatial-temporal random field arising from the solution of a relativistic diffusion equation with the spatial-fractional parameter $α\in (0,2)$ and the mass parameter $\mathfrak{m}>...
