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diffusion models

2,370 papers

#diffusion models Open access Oct 2026

Reducing Hydrogen Diffusion Losses by Modification of Fluoroplastic Barrier Coatings for Increasing Efficiency and Safety of Hydrogen Transportation

High pressure hydrogen transport can cause hydrogen embrittlement of steel pipelines, leading to loss of mechanical integrity and failures. Therefore, protective internal coatings are required to reduce hydrogen permeability. In this work, the effect of composite fluoropolymer coatings modified with carbon nanotubes (C...

Петкова Ани Петровна, V. A. Zlotin, V. S. Borisova · 0 citations
#diffusion models Open access Oct 2026

Numerical study on leakage diffusion characteristics and hazard boundaries of buried hydrogen-blended natural gas risers

Leakage from buried hydrogen blended natural gas (HBNG) pipelines can cause gas migration through porous soil and accumulation at the ground surface, creating fire and explosion hazards. Vertical risers, owing to stress concentration and distinct leakage patterns, exhibit hazard evolution different from horizontal pipe...

Song Zhang, Jinyu An, Xiong Liu et al. · 0 citations
#diffusion models Open access Oct 2026

High codimension bifurcations and complex pattern selection in a diffusive Leslie–Gower predator–prey model with Bazykin functional response

Most existing studies on diffusive predator–prey systems mainly focus on codimension-1 Turing and Hopf bifurcations, while the role of higher codimension bifurcations in complex pattern selection and spatiotemporal dynamics remains far from fully understood. Therefore, we investigate a generally diffusive Leslie–Gower...

Jing Li, Zhili Zhang, Li Li · 0 citations
#diffusion models Open access Oct 2026

The impact of molecular transport in turbulent non-premixed NH3/H2/N2 jet flames at elevated pressures

The modelling of turbulent combustion of ammonia is particularly challenging due to the complex chemistry featuring an exceptionally wide range of primary chemical time-scales demanding accurate inclusion of turbulence–chemistry interactions. The latter are here treated using a transported joint-scalar probability dens...

Lu Tian, R.P. Lindstedt · 0 citations
#diffusion models Open access Oct 2026

A phenomenological stress decomposition framework for electro–mechanical state awareness in all-solid-state batteries

All-solid-state batteries (ASSBs) exhibit strong electro–mechanical coupling behavior due to stress-dependent solid–solid interfacial contact, making accurate state estimation challenging. To address this issue, an electro–mechanical coupling modeling and joint state estimation framework based on mechanical stress evol...

Yefan Sun, Zhaoxia Peng, Shichun Yang et al. · 0 citations
#diffusion models Open access Oct 2026

Rapid estimation of structural brain disconnection from binary lesion masks using DeepDisco

Mapping how focal brain lesions disrupt structural connectivity is key to understanding cognition, behavior, and neurological outcomes. However, traditional diffusion tractography pipelines are computationally intensive, require specialized data and expertise, and remain inaccessible for many research and clinical ap...

A. Matsulevits, Thomas Tourdias, Michel Thiebaut de Schotten · 0 citations
#diffusion models Open access Oct 2026

Deep learning-based prediction of HER2 status from breast diffusion-weighted MRI

Background and objective The accurate classification of human epidermal growth factor receptor 2 (HER2) status is very important for the diagnosis and treatment of breast cancer. However, the biopsy, the current gold standard for differentiating HER2 status, is invasive and time-consuming. To overcome these drawbacks,...

Yao Zhang, Xin-Ran Kan, Jia-Qi Wang et al. · 0 citations
#diffusion models Dataset Open access Oct 2026

OxideMatterGen: fine-tuned MatterGen checkpoints for inert-anode design in fluoride and chloride molten salts

Fine-tuned MatterGen diffusion-model checkpoints accompanying the paper An Environment-Conditioned Generative Model Designs Inert Anodes across Opposite Molten-Salt Chemistries. Three fifteen-property fine-tunes of the public MatterGen base checkpoint, trained on 30,161 transition-metal oxides from Alex-MP-20 with iden...

Sunghyun Park, Yohan Lee, Wanbae Kim et al. · 0 citations
#diffusion models Dataset Open access Oct 2026

OxideMatterGen: fine-tuned MatterGen checkpoints for inert-anode design in fluoride and chloride molten salts

Fine-tuned MatterGen diffusion-model checkpoints accompanying the paper An Environment-Conditioned Generative Model Designs Inert Anodes across Opposite Molten-Salt Chemistries. Three fifteen-property fine-tunes of the public MatterGen base checkpoint, trained on 30,161 transition-metal oxides from Alex-MP-20 with iden...

Sunghyun Park, Yohan Lee, Wanbae Kim et al. · 0 citations
#diffusion models Open access Oct 2026

Adversarial Attack via Latent Feature Attribution of Diffusion Models

Traditional adversarial attacks are constrained by \({l_p}\) norm limits, resulting in adversarial examples with high-frequency noise that compromise their imperceptibility. In contrast, attacks using diffusion models without \({l_p}\) norm constraints can generate visually more covert adversarial examples; however, ex...

Jiale Shi, Yafei Song, Tianpeng Li et al. · 0 citations
#diffusion models Open access Oct 2026

Decellularization in Regenerative Medicine: State-of-the-Art and Emerging Frontiers

Abstract There is a huge gap between the number of donors available and the number of patients in need of organ transplants. Decellularisation of organs and tissues has emerged as a pivotal approach in regenerative medicine, enabling the creation of natural extracellular matrix scaffolds for human organ regeneration. T...

Devendra Pathak, SAV Manikant Sarma, Opinder Singh et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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