diffusion models

waudbylab/NMRAnalysis.jl: v0.4.3

NMRAnalysis v0.4.3 Diff since v0.4.2 Unified 1D analysis framework Introduced Analysis1D, a single interactive GUI framework for 1D experiments (diffusion, relaxation, calibration, TRACT, kinetics), replacing the old readline-driven routines Region selection, results panel, and layout extensively redesigned and fixed b...

Edge-deployable pseudo-supervised fault diagnosis for RV reducers: a lightweight method based on physical prior guidance and diffusion reconstruction

Adaptive multi-scale attention-enhanced V-NET for accurate and efficient multi-shell diffusion MRI estimation

Multi-shell acquisition protocols sample diffusion signals at different b -values. While higher b -values (e.g., \(b = 2000\, \mathrm {s/mm^2}\) ) offer increased sensitivity to microstructural features, their acquisition is time-intensive and suffers from reduced signal-to-noise ratio and motion sensitivity, which lim...

The New Green Growth Model Beyond Environmental Kuznets

The paper proposes a new green‑growth framework that moves beyond the traditional Environmental Kuznets Curve (EKC), arguing that the EKC’s assumed trajectory—where environmental degradation rises and then falls with income—no longer reflects the dynamics of modern, energy‑intensive economies. Drawing on surplus‑energy...

Perspective: denoising diffusion probabilistic models for modeling Earth's gravitational field and rotation in geodesy

A longitudinal study on the cross-temporal relationships in the acceptance of autonomous delivery vehicles on campus: a cross-lagged panel analysis based on two-wave tracking data

The adoption of any technology requires both capability and user acceptance. Most technology acceptance studies are cross-sectional, limiting ability to identify longitudinal predictive relationships between psychological factors and behavioral intention. We used the Unified Theory of Acceptance and Use of Technology 2...

Identifying ion and carrier behavior in perovskite solar cells through impedance spectra

Abstract Due to the interference of ion dynamics in perovskite materials, specifically the mixed ionic-electronic conduction property, the impedance response of perovskite solar cells exhibits numerous anomalous features. Herein, we conduct numerical simulations using the drift-diffusion model coupled with ion migratio...

Causal Representation Learning via Counterfactual Diffusion Networks

This paper introduces Counterfactual Diffusion Networks (CDN), a novel approach to causal representation learning. Traditional representation learning methods often fail to accurately capture underlying causal relationships within data, leading to issues in downstream tasks that rely on understanding these relationship...

spectraMR: A Multi-Paradigm Research Framework for MRI Reconstruction, Super-Resolution, and Generative Modelling

spectraMR is a research framework for MRI reconstruction, super-resolution and generative modelling. It spans GAN, diffusion (including cold and latent diffusion), VAE/VQ-VAE, masked-autoencoder and self-supervised pretraining, reconstruction-only, domain-adaptation, physics-driven, disentangled, sensitivity-estimation...

A new perspective on centroid algorithms for unsupervised discrete clustering in Riemannian manifolds: an approach via optimization

This work presents a new perspective on a specific class of partition-based algorithms for unsupervised discrete clustering in complete finite-dimensional Riemannian manifolds by introducing statistical shape analyses to classify clusters and improve label selection.

Operando electrochemiluminescence imaging of intermediate evolution and kinetics in electrocatalytic nitrate reduction

Electrocatalytic nitrate reduction (NO3RR) provides a sustainable approach for removing nitrate pollutants and producing valuable nitrogen chemicals. However, understanding catalytic behavior under realistic dilute conditions remains challenging, as conventional electrochemical measurements rely on ensemble-averaged si...

Coupled Nonlinear ODE–PDE Analysis of Electrochemical Corrosion: Reaction–Diffusion Theory, Stability Analysis, and Computational Simulation