diffusion models

Code and numerical data for "Undrained Fault-Zone Poroelastic Feedback Enables the 2011 Prague Earthquake Cascade"

This repository contains MATLAB code and numerical data accompanying “Undrained fault-zone poroelastic feedback enables the 2011 Prague earthquake cascade” by Zhengze Li and Sylvain Barbot. The model combines injection-driven pore-pressure diffusion, frictional fault slip, elastic fault interactions, and undrained faul...

Electro-thermal simulation data for inter-tier heat coupling and service-time degradation in stacked BEOL IGZO transistors

This dataset supports a simulation study of how heat from an active transistor in one tier of a monolithic three-dimensional stack affects the reliability of a transistor in the tier below it. The device modelled is a back-end-of-line indium-gallium-zinc-oxide (IGZO) thin-film transistor with an 80 nm channel length, a...

Advanced Image Generation for Cancer and Stem Cell Biology Using Diffusion Models.

A new model for runaway electron transport in chaotic magnetic geometries

Abstract The transport of runaway electrons (RE) in chaotic magnetic geometries is an area of active study. Computing the transport from the direct simulation of particle trajectories is computationally expensive. Instead, diffusion models, such as the one by Rechester and Rosenbluth, are often employed to incorporate...

Norms, Tools, and the Say/Do Gap: Seventeen Months of Autonomous Frontier-Model Agents in the AI Village

In the public AI Village experiment, up to ~30 frontier language-model agents from seven developers act autonomously every weekday for 2–8 hours, each with its own computer, a shared chat, self-written memory and weekly human-set goals. From its released event log (350,537 events, 2.3M computer-use turns, ~26,000 sessi...

Data and code for Scheduled Momentum Diffusion Improves Hydraulic Shock Fidelity in Strong-Form Shallow-Water Physics-Informed Neural Networks

Companion data and code for "Scheduled Momentum Diffusion Improves Hydraulic Shock Fidelity in Strong-Form Shallow-Water Physics-Informed Neural Networks" by Huicong An and Chaojun Ouyang. The package includes 102 formal shallow-water PINN experiments covering nine dam-break depth ratios (2:1 to 10:1), diffusion ablati...

MRI Service Development: Evolution and Governance of MRI Reporting Radiographers and the Establishment of Novel MRI Care Processes. A Diffusion of Innovations Approach to Understanding Adoption Challenges

MRI services within the NHS are challenged, the demand on imaging is increasing year on year, with an increase in requests for MRI examinations of 48.0% between 2012 and 2019 (NHSE, 2025a). Issues with both radiographer and radiologist staffing have been found to affect scan waits and reporting times for all imaging ex...

RASR: Retinex-Guided Adaptive One-Step Diffusion for Low-Light Image Super-Resolution

RASR, a Retinex-guided adaptive one-step diffusion framework for low-light super-resolution, outperforms existing low-light and mainstream super-resolution methods in PSNR, SSIM, and LPIPS, with especially prominent gains in perceptual quality, and ablation studies validate the effectiveness of each key design.

Supplemental Information

The Supporting Information contains supplementary figures and tables, including the XPS spectra of the samples, Reusability of PHC, MnBC-H2O and MnBC-Acid for the adsorption of TCH，the pore structure parameters (include specific surface area, pore volume, average pore diameter) of the adsorbents, the adsorption kineti...

Electro-thermal simulation data for inter-tier heat coupling and service-time degradation in stacked BEOL IGZO transistors

This dataset supports a simulation study of how heat from an active transistor in one tier of a monolithic three-dimensional stack affects the reliability of a transistor in the tier below it. The device modelled is a back-end-of-line indium-gallium-zinc-oxide (IGZO) thin-film transistor with an 80 nm channel length, a...

SI revised

Abstract. The Eddy-Diffusivity Mass-Flux (EDMF) parameterization provides a unified framework to represent both local (diffusive) and non-local (convective) vertical mixing in the ocean. While EDMF has been evaluated in idealized and regional configurations, its performance in global ocean models has not yet been asses...

MRI-derived deep-feature model for differentiating stage I endometrial carcinoma from atypical endometrial hyperplasia: a two-center retrospective study

Background Differentiating stage I endometrial carcinoma (EC) from atypical endometrial hyperplasia (AEH) before surgery is critical for guiding treatment decisions, yet current magnetic resonance imaging (MRI) assessment is limited by overlapping appearances and inter-observer variability. Methods In this retrospectiv...