diffusion models

Predicting plasmonic enhancement of photoluminescence with a multi-scale and multi-physics numerical method

Monolayer transition-metal dichalcogenides (TMDs) are promising ultrathin light emitters, but their intrinsically weak light–matter interaction limits achievable radiative efficiency, motivating the use of plasmonic nanostructures to enhance photoluminescence (PL) and electroluminescence (EL). While extensive experimen...

NeuPlume: generative inversion of atmospheric point-source emissions from sparse observations

Inverting point-source emissions from sparse atmospheric observations is difficult because emission rate, release height, wind speed, turbulence, and plume morphology can compensate for one another. We present NeuPlume, a neural-physical framework that formulates inversion as observation-guided generation and selecti...

Exact analytical PGSE signal for diffusion confined to a cylindrical surface using a spectral Laplacian formalism

Abstract Objective. To derive an exact analytical expression for the diffusion MRI signal arising from diffusion confined to a cylindrical surface under finite rectangular pulsed-gradient spin-echo (PGSE) gradients, and to develop computationally efficient strategies for repeated model evaluations. Approach. The Bloch–...

A Systematic Overview on AI Music Generation, Arrangement, and Orchestration

The rapid growth of AI-based music generation, arrangement, and orchestration has resulted in a large and fragmented body of literature, making it increasingly difficult for researchers and practitioners to navigate recent developments and identify the most promising approaches. Existing surveys often focus on specific...

A diffusion-based sequential generative workflow for AI-assisted architectural and structural design of detached houses

Traditional architectural and structural design workflows often require repetitive manual operations. Although recent artificial intelligence methods have advanced floor plan generation and structural design, most studies focus on isolated subtasks and simple residential datasets, limiting their applicability to detach...

From innovation to uncertainty: artificial intelligence narratives and financial market volatility

The paper explores the relationship between artificial intelligence (AI)-related uncertainty and financial market volatility. We isolate the uncertainty component of AI narratives using indexes from newspaper-based information from 2015 to 2025, which allows us to differentiate between general AI attention, AI-related...

CIVILIZATION WORMHOLE MEMORY NETWORK AT THE LIMIT Intergenerational Knowledge, Living Memory, AI Intelligence, and the Architecture of Civilizational Continuity

CIVILIZATION WORMHOLE MEMORY NETWORK AT THE LIMITIntergenerational Knowledge, Living Memory, AI Intelligence, and the Architecture of Civilizational Continuity ENGLISH DESCRIPTION — FOR ZENODO / RESEARCH REPOSITORIES CIVILIZATION WORMHOLE MEMORY NETWORK AT THE LIMIT is an extensive exploratory research atlas devoted to...

Using conditional diffusion models for data-driven ground motion identification of structural dynamic systems under uncertainty

Influence of Mn on Cementite Coarsening and Ferrite Grain Growth During Annealing of a Cold Rolled Medium Carbon Steel

To improve the formability of cold‐rolled medium carbon steels, the grain growth of ferrite with pinning of cementite particles during soft‐annealing was investigated through experiments and simulations in a hypoeutectoid Fe–0.29 mass%C–0.51 mass%Mn steel.Between the annealing times of 1.8 × 10 4 (5 h) and 3.6 × 10 5 s...

Code and data for: When may spray-capture models treat droplets as well mixed? A criterion and a surface-loading closure

MATLAB code and saved results for the paper "When may spray-capture models treat droplets as well mixed? A criterion and a surface-loading closure" by Ali M. Sefidan. The code resolves reaction and diffusion inside a single droplet of aqueous monoethanolamine (MEA) absorbing CO2. Carbamate formed near the interface dif...

STRATEGY FOR UTILIZING DIGITALIZATION TECHNOLOGY AND INNOVATION IN DRIVING SALES GROWTH OF CULINARY MSMES IN KENDAL REGENCY

By combining the Technology Acceptance Model and the Diffusion of Innovation Theory, this study seeks to investigate how digital marketing, food delivery apps, digital payments, and product innovation affect the sales growth of culinary MSMEs in Kendal Regency. A quantitative approach was employed, utilizing valid data...

Decision-making and diffusion dynamics of photovoltaic green roof retrofits: evidence from a tripartite evolutionary game

Purpose This study investigates the diffusion of photovoltaic green roof (GR-PV) retrofits in existing buildings from the perspective of strategic interaction among government, technology suppliers and property owners. It examines how policy incentives, firm supply decisions and owner investment choices jointly affect...