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diffusion models

2,372 papers

Tom Kurtz’s work on representation and approximation of stochastic (bio)chemical reaction networks

In the 1970s, Tom Kurtz established foundational results on the rigorous approximation of continuous time Markov chains used in modeling chemical reaction networks. These results involved approximation of the stochastic processes over compact time intervals, and included functional laws of large numbers (hydrodynamic/f...

R. J. Williams · 0 citations
#diffusion models Open access Oct 2026

Formulation and Evaluation of Bakuchi Oil Loaded Hydrogel for the Management of Common Skin Conditions

Background: Skin disorders such as acne vulgaris, eczema, psoriasis, and superficial fungal infections impose a considerable therapeutic burden worldwide.Topical drug delivery offers significant advantages over systemic routes, including avoidance of hepatic first-pass metabolism, targeted drug deposition, and improved...

Unknown authors · 0 citations
#diffusion models Open access Dec 2026

pH-responsive hydrogel delivery of Lycium barbarum glycopeptide coordinates immune-matrix crosstalk to enhance wound healing.

Advanced wound dressings should combine physical protection with localized and microenvironment-responsive delivery of therapeutic agents. Lycium barbarum glycopeptide (LbGp), a naturally derived macromolecular preparation with reported immunomodulatory and tissue-protective activities; however, its topical use is limi...

Shuang Lai, Sha-Sha Lei, Chuan-Jie Zeng et al. · 0 citations
#diffusion models Open access Oct 2026

Formulation and Evaluation of Bakuchi Oil Loaded Hydrogel for the Management of Common Skin Conditions

Background: Skin disorders such as acne vulgaris, eczema, psoriasis, and superficial fungal infections impose a considerable therapeutic burden worldwide.Topical drug delivery offers significant advantages over systemic routes, including avoidance of hepatic first-pass metabolism, targeted drug deposition, and improved...

Unknown authors · 0 citations

Passive-scalar transfer-kernel modelling for thermal transit-time flow measurement in pipe flow

Abstract Thermal transit-time flowmeters are attractive for high-temperature, corrosive and irradiating environments, but the usual single-delay relation U = L/τ does not represent the effects of velocity-profile shear, radial scalar mixing, finite thermocouple response and channel mismatch. This study develops and tes...

Taleb Moazzeni · 0 citations
#diffusion models Book Oct 2026

Potential Theory and Hitting Probabilities

Stochastic processes rooted in potential theory provide a rigorous mathematical language for quantifying healthcare access, measuring equity, and assessing systemic risk in complex environments. This chapter develops hitting probabilities and first-passage time theory within adaptive healthcare systems. Beginning with...

Deepak Kumar Gupta, Khaydarov Ural, Jurayeva Nodirakhan et al. · 0 citations

Missingness-Aware Spatiotemporal Graph Learning for Urban Sensor Networks: Design Choices and Evaluation Pitfalls

Urban traffic, environmental, and utility monitoring systems generate multivariate sensor streams whose spatial relations and missing-data mechanisms evolve over time. This critical narrative review examines graph-based forecasting and reconstruction in the presence of unreliable sensor observations. Foundational diffu...

Lione Rewbon, layson Bione, Quoon Iylar · 0 citations
#diffusion models Open access Oct 2026

Interactions between microplastics from agricultural films and soil in regulating atrazine adsorption: A mechanistic and environmental relevance study.

The widespread application of agricultural films has resulted in the accumulation of microplastics (MPs) in soils, creating a coexistence with pesticides like atrazine. This study investigates the environmentally relevant interactions between field-aged polyethylene agricultural films (FAPE), virgin polyethylene (VPE),...

Yang Zhou, Yu-Han Du, Jing-Yan Gu et al. · 0 citations
#diffusion models Open access Oct 2026

Fast X-Ray Transient EP260321a: Shock Breakout through an Extended Circumstellar Matter

Abstract The Einstein Probe (EP) has discovered a fast X-ray transient, EP260321a, whose optical counterpart was subsequently classified as a broad-lined Type Ic supernova. Its observed rise time of about 690 s is inconsistent with theoretical predictions for shock breakout (SBO) from a Wolf–Rayet star, which is typica...

Maokai Hu, Yi Yang, Lifan Wang · 0 citations
#diffusion models Open access Oct 2026

Inverse materials design via joint generation of crystal structures and local electronic descriptors

Inverse design of inorganic crystals, in which structures are generated to satisfy a target property while preserving diversity and physical plausibility, remains more demanding than ab initio generation, as property conditioning can degrade the structural quality that current generative models otherwise achieve. We pr...

Ibuki Okuda, Izumi Takahara, Teruyasu Mizoguchi · 0 citations
#diffusion models Open access Oct 2026

Tidal heating of stellar clusters in fuzzy dark matter halos

Ultra-faint dwarf galaxies serve as powerful testing grounds for wave dark matter models through dynamical stellar heating. Previous simulation-based work derived a lower bound on the fuzzy dark matter particle mass using a diffusion approximation valid only when the de Broglie wavelength is much smaller than the galax...

Yiheng Liu, Xinyu Li · 0 citations
#diffusion models Open access Oct 2026

Multi-AI agent framework reveals the “oxide gatekeeper” in aluminum nanoparticle oxidation

Aluminum nanoparticles (ANPs) are among the most energy-dense solid fuels, yet the atomic mechanisms governing their transition from passivated particles to highly reactive states remain elusive. This stems from a fundamental computational bottleneck: Ab initio methods offer quantum-level fidelity but are restricted to...

Yiming Lu, Tingyu Lu, Di Zhang 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.

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