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diffusion models

2,204 papers

#diffusion models Open access Sep 2026

Kinetic modeling and characterization of silicon-free pack boriding on Inconel 738 superalloy using the Taylor expansion model

Abstract Inconel 738 superalloy was treated using a silicon-free pack boriding process with a powder mixture of boron carbide (B4C) and sodium tetrafluoroborate (NaBF4) at 850 °C, 900 °C, and 950 °C for 2 h–8 h. Scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) analyses confirmed the for...

G. Çelebi Efe, Fatma Kocer, T. Yener et al. · 0 citations

The research on the mechanism of risk transmission in new energy vehicle supply chains from the perspective of hypernetworks

Purpose The complex characteristics of the new energy vehicle supply chain – including its multistakeholder nature, high interdependence and group interactions – make it difficult for traditional risk analysis methods to effectively characterize the internal risk propagation processes within it. Design/methodology/appr...

Lan Xu, Xuefeng Wang · 0 citations
#diffusion models Open access Sep 2026

STRATEGIC MANAGEMENT OF THE EDUCATIONAL PROCESS UNDER ARTIFICIAL INTELLIGENCE IMPLEMENTATION: QUALITY EDUCATION, DECENT WORK, AND HUMAN CAPITAL FOR THE TRANSFORMING LABOR MARKET OF KAZAKHSTAN

The accelerated diffusion of generative artificial intelligence in higher education has outpaced the institutional rules that define where machine assistance should end and academic judgement should begin, leaving universities without clear boundaries for substituting for teaching labour and placing the quality educati...

Karlygash Ramazanova · 0 citations
#diffusion models Open access Sep 2026

3D-printed polymeric cryogel for tetracycline adsorption

The removal of emerging contaminants from aqueous systems remains a significant environmental challenge. Among the adsorbent materials explored for water treatment, cryogels based on natural polymers have emerged as promising candidates due to their interconnected macroporous structure, enhanced mass-transfer propertie...

Francisco Vieira dos Santos, Ana Laura M.M. Alves, Douglas Scarabello et al. · 0 citations

Pricing of perpetual American options in diffusion models with progressively enlarged filtrations

We study the problems of pricing of perpetual American options in one-dimensional positive diffusion models of financial markets with progressively enlarged Brownian reference filtrations. It is assumed that the reward processes represent integrals of discounted continuous piecewise-linear functions of the current valu...

Pavel V Gapeev · 0 citations
#diffusion models Preprint Open access Sep 2026

Analytical Modeling of Dispersive Closed-loop MC Channels with Pulsatile Flow

Molecular communication (MC) is a communication paradigm in which information is conveyed through the controlled release, propagation, and reception of molecules. Many envisioned healthcare applications of MC are expected to operate inside the human body. In this environment, the cardiovascular system ( CVS) acts as th...

Theofilos Symeonidis, Fardad Vakilipoor, Robert Schober et al. · 0 citations
#diffusion models Open access Sep 2026

Multiphase Cross-diffusion models for tissue structures: modeling, analysis, numerics

Volume-filling cross-diffusion equations for the components of a tissue structure are formally derived from mass conservation laws and force balances for the interphase pressures and viscous drag forces in a multiphase approach. The equations include Maxwell–Stefan, tumor-growth, thin-film solar cell models as well as...

Ansgar Jüngel, Cordula Reisch, Sara Xhahysa · 0 citations
#diffusion models Preprint Open access Sep 2026

Matched Filter-Based Molecule Source Localization in Advection-Diffusion-Driven Pipe Networks with Known Topology

Synthetic molecular communication (MC) has emerged as a powerful framework for modeling, analyzing, and designing communication systems where information is encoded into properties of molecules. Among the envisioned applications of MC is the localization of molecule sources in pipe networks (PNs) like the human cardiov...

Timo Jakumeit, Bastian Heinlein, Vukašin Spasojević et al. · 0 citations
#diffusion models Open access Sep 2026

Kinetic interacting particle Langevin Monte Carlo

Abstract This paper introduces and analyses interacting underdamped Langevin algorithms, termed Kinetic Interacting Particle Langevin Monte Carlo (KIPLMC) methods, for statistical inference in latent variable models. We propose a diffusion process that evolves jointly in the space of parameters and latent variables and...

Paul Felix Valsecchi Oliva, Ömer Deniz Akyıldız · 0 citations
#graph neural networks Editorial Open access Sep 2026

Editorial: Exploring neuropsychiatric disorders through multimodal MRI: network analysis, biomarker discovery, and clinical insights

The research included in this Research Topic span a broad range of conditions, including neurodevelopmental disorders, psychiatric disorders, neurodegenerative diseases, infection-related brain injury, pain-related disorders, disorders of consciousness, and spinal disorders affecting the nervous system. Despite the div...

Ruichen Ren, Wei Wang · 0 citations
#graph neural networks Open access Sep 2026

CoTAR: Topology and Atomic State Reconstruction in Condensed Phases

Abstract Universal machine learning interatomic potentials (uMLIPs) enable performing condensed-phase molecular dynamics (MD) simulations with accuracy approaching that of first-principles; however, their lack of explicit molecular topology limits bond-aware analysis and reconnection to classical force fields. This stu...

Hodaka Mori, Yu Miyazaki, Takechika Kikkawa · 0 citations

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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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