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diffusion models

2,278 papers

Dimensional and Scaling Analysis of Binary Gas in Shale Reservoirs

Summary Understanding multicomponent gas transport in organic-rich ultratight reservoirs is essential for improving gas production and subsurface gas storage. This study develops a dimensionless framework for steady-state binary gas transport in nanoporous media using a species-based Maxwell-Stefan model that treats th...

Qian Zhang, Hamid Meybodi-Emami · 0 citations

Compositional Modeling of CO2 Injection in a Nanoporous Unconventional Reservoir Core

Abstract This paper presents a one-dimensional radial compositional numerical model that simulates CO2 injection into a decane-saturated nanoporous medium. The theoretical framework couples advective mass transport and diffusive molar fluxes as the primary mechanisms and incorporates molecular adsorption and sieving as...

K. Dewanda, K. Amini, E. Ozkan et al. · 0 citations
#diffusion models Open access Oct 2026

An Open-Loop Endpoint Memory Model for Incompressible Vorticity with a Null-Distance Channel and a Two-Branch Time Plane: Endpoint Response, Non-identifiability, and Numerical Checks

We study a candidate passive extension of the local rotation of an incompressible viscous fluid. The vorticity \(\boldsymbol\omega=\nabla\times\boldsymbol v\) is passed, as a boundary value, to an auxiliary half-line ("null-distance channel") \(y\ge0\) on which a diffusion field \(\boldsymbol U\) evolves, and the endpo...

Kuniyuki Hayashi · 0 citations
#diffusion models Open access Oct 2026

Quantitative, longitudinal measurements of response to immunotherapy for glioblastoma using multiparametric MRI in a long-term survivor treated with autologous tumor lysate–loaded dendritic cell vaccine: an illustrative case

BACKGROUND Neurosurgeons are in the forefront of developing clinical trials that harness the immune system to combat glioblastoma. Autologous tumor lysate–loaded dendritic cell vaccine (DCVax-L) is a novel immunotherapy for glioblastoma. An unmet need is to develop a sensitive, specific, feasible, clinically relevant,...

Archith Rajan, Steven Brem, Daniel Gewolb et al. · 0 citations
#diffusion models Open access Oct 2026

Quantum Observer Field Theory: A Unified Framework for Material Quantum Fields, Consciousness, and Cosmic Structure

This preprint presents Quantum Observer Field Theory (QOFT), a computational and mathematical framework that unifies quantum field theory, active matter physics, and consciousness studies while preserving the material nature of quantum fields throughout. The framework demonstrates that space and time are emergent relat...

Bashar Shami · 0 citations

Non-Equilibrium Behavior of CO2 Bubble Evolution Under Dynamic Pressure Conditions

Abstract Understanding the dynamic behavior of dissolved and free-phase CO2 is critical for ensuring the long-term security of geological carbon storage. While equilibrium solubility governs the thermodynamic limits of CO2 dissolution, transient pressure changes can induce non-equilibrium exsolution and delayed redisso...

A. Alharthi, E. Basilio, M. Addassi et al. · 0 citations

Water Saturation Effects on Cyclic Gas Injection in Shale Oil Reservoirs

Summary A substantial portion of fracturing water is retained in shale formations, raising near-fracture water saturation, reducing hydrocarbon relative permeability, and potentially weakening subsequent cyclic gas-injection performance. This behavior is further complicated by shale's multiscale pore structure and wett...

Qian Zhang, Ming Ma, Hamid Emami‐Meybodi · 0 citations

A Multiphysics Simulation Framework for CO2 Huff-n-Puff in Shale Oil Reservoirs: Coupling Stress-Dependent Maxwell–Stefan Diffusion and Nanopore Confinement

Summary Diffusion is non-negligible in shale reservoirs due to the ultra-tight matrix, while advection is also strongly stress-sensitive due to well-developed fractures. Yet, most CO2 huff-n-puff (HnP) models still employ Fickian diffusion and static rock properties. This work develops a unified, fully implicit composi...

Ye Tian, Dianchen Yang, Liehui Zhang et al. · 0 citations

Reservoir History Matching with Latent Diffusion Model Parameterization and ES-MDA

Abstract Reservoir history matching is fundamentally ill-posed, because the dimensionality of the spatial property fields far exceeds the information contained in production data. In this study, we address this problem with a latent diffusion model that combines a variational autoencoder for compact geological represen...

Haotian Li, Billal Aslam, Xupeng He et al. · 0 citations

Analysis and Modeling of Vertical and Horizontal Compositional Gradients in Two North Sea Reservoirs

Abstract This paper presents compositional data from two North Sea reservoirs, one of which exhibits significant horizontal temperature gradients. At a constant depth, the methane concentration decreases with increasing temperature, whereas the C7+ concentration increases. This is attributed to a mechanism tied to mole...

K. S. Pedersen, H. P. Hjermstad, K. Eide-Engdahl et al. · 0 citations
#diffusion models Dataset Open access Oct 2026

Multimessenger Constraints on Nuclear Acceleration in Neutrino-Emitting Seyfert Coronae

Data and plotting scripts for nuclear cascades in Seyfert coronae This archive contains selected model outputs and standalone Python scripts for plotting cosmic-ray distributions, interaction rates, nuclear cascades, and radiation spectra for NGC 1068 and NGC 7469. It also includes the Fe momentum-diffusion sensitivity...

Chengchao Yuan · 0 citations
#graph neural networks Open access Oct 2026

Diffusion Models Beyond Computer Vision: Tabular Data Synthesis, Graph Generation, and Time-Series Forecasting

Abstract—Denoising Diffusion Probabilistic Models (DDPMs) and Score-Based Generative Models have fundamentally transformed continuous image generation and multi-modal synthesis. However, their mathematical extension beyond Euclidean continuous pixel grids into structured enterprise domains—specifically heterogeneous ta...

Aarav Sharma, Aayush Nagar, Dr. Vishal Shrivastava 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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