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diffusion models

2,370 papers

#diffusion models Open access Oct 2026

UFD: The Base Motion Without Physics. A Corrective Edition

UFD v2.0 is a corrective edition of UFD. It withdraws every physical claim of v1.0, v1.1 and v1.2 (2025): particles, mass, quantization, physical constants, gravity and the unification of physical theories are no longer claimed, and no symbol has a physical reading. What remains is a short mathematical text. It states...

C Valdepenas · 2 citations
#diffusion models Open access Oct 2026

Axial Excitation-Energy Transport and Inter-Tube Hopping in Microtubules: A Falsifiable Experimental Framework for Molecular Transport, Crosstalk, ELF Modulation, and Array Feasibility

Polymerized microtubules contain ordered aromatic residues capable of supporting electronic excitation migration, but the directionality, range, and engineering usefulness of that transport remain unknown. This manuscript presents a falsifiable experimental framework for testing preferential axial excitation-energy tra...

John Giles · 4 citations
#diffusion models Open access Oct 2026

Slice‐Wise Quality Assessment of High b Value Breast DWI via Deep Learning‐Based Artifact Detection

BACKGROUND: Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast MRI. Therefore, DWI is increasingly being incorporated into breast MRI protocols to address some of the shortcomings of routine clinical breast MRI. However, especially high b value DWI can be prone to intensity art...

Ameya Markale, Luise Brock, Ihor Horishnyi et al. · 1 citation
#diffusion models Open access Oct 2026

A cellular automata framework to study the diffusion in single and binary solvent systems

Abstract In this work, we present a two-dimensional cellular automata (CA) model to study mass transfer by diffusion of molecules in single and binary solvent systems. The method builds on Vanag’s probabilistic cellular automata (PCA), where diffusion is simulated through stochastic exchange of molecules between neighb...

Preethi Aranala Gurumoorthi, Mansi Aliveli, Irina Smirnova et al. · 0 citations
#graph neural networks Open access Oct 2026

Drugging the Undruggable in Oncology: Structural Computation, Machine Learning, and Generative AI for Historically Intractable Targets

For four decades the central oncogenic drivers of human cancer the RAS GTPases, the transcription-factor MYC, mutant p53, and the protein-tyrosine phosphatases, fusion oncoproteins and intrinsically disordered regulators that surround them were regarded as undruggable: lacking deep, well-defined small-molecule binding...

Mikołaj Stańczak, Sarfaraz K. Niazi · 0 citations
#reinforcement learning Open access Oct 2026

Reinforcement learning–coupled neural ode modelling reveals ferroptotic resolution failure as a shared dynamical axis linking periodontitis and coronary atherogenesis

The molecular axis underlying the epidemiologically established association between periodontitis and coronary heart disease (CHD) remains undefined at mechanistic, systems-level resolution. Classical comparative transcriptomics captures correlational gene lists but cannot reconstruct directional disease-state dynamics...

Pradeep Kumar Yadalam, Roshan Noor Mohamed, S Basha et al. · 0 citations
#diffusion models Open access Oct 2026

Supplementary Software S1: Three-dimensional model of coupled heat and moisture transfer, grain respiration and insect population dynamics in aerated wheat storage

Python/NumPy/SciPy implementation of the three-dimensional cell-centred finite-volume model described in the article "Three-Dimensional Modelling of Coupled Heat and Moisture Transfer, Grain Respiration and Insect Population Dynamics in Aerated Wheat Storage: Continuous versus Controlled Aeration" (Kurbonov, Shadmanov,...

Abdinabi Mukhamadiyev, Nozim Kurbonov, Istam Shadmanov et al. · 0 citations
#diffusion models Open access Dec 2026

Repetitive negative thinking is associated with conflict-related neural activity that modulates evidence accumulation.

Repetitive negative thinking (RNT), including worry and rumination, is a transdiagnostic feature of anxiety and depressive disorders and is linked to altered cognitive control. However, the decision-level mechanisms underlying these alterations are not well understood. Here, we examined whether individual variation in...

Linisa Williams, J. Bomyea, Jonathon R. Howlett et al. · 0 citations
#diffusion models Open access Oct 2026

Effect of Azadirachta indica Paste on Lactobacillus rhamnosus in Dentinal Tubules and Its Cytotoxicity for Dental Pulp Stem Cells

Objectives: Azadirachta indica var. siamensis Valeton, also known as neem, possesses various beneficial biological properties, including antibacterial activity. Neem paste (NZ-paste) was developed to enhance its application. This study aimed to investigate the antibacterial activity of NZ-paste against Lactobacillus rh...

Kamonchanok Tangsapsathit, Visakha Aupaphong, Chiravoot Pechyen et al. · 0 citations
#diffusion models Open access Oct 2026

From Electronic Heterogeneity to Extreme Residence Times: A Multiscale Model of Energetic Stabilization, Stochastic Trapping, and Transport

Persistent local states can arise without a uniform reduction in system-wide mobility.Here, we develop a minimal multiscale model to examine whether mi-croscopic electronic heterogeneity can propagate through energetic stabi-lization into extreme local residence-time statistics.A four-state effective Hamiltonian was us...

Shoko Wakisaka · 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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