There is growing evidence of cosmic-ray acceleration in massive stellar clusters. Furthermore, extended gamma-ray emission suggests that particle transport in the vicinity of their sources is influenced by physical processes markedly different from large-scale diffusion in the Milky Way. We characterize extended gamma-...
L. Tibaldo, R. Bernet, Lucia Härer et al.· Astronomy and Astrophysics· 0 citations
We study the diffusion and shear viscosity coefficients of hot isospin asymmetric strange hadronic matter. The effects due to the baryon density, isospin, strangeness, and temperature on the nucleons and hyperons are studied within a chiral SU(3) model. The medium modifications of the baryons arise due to interactions...
The diffusion model, the state-of-the-art generative machine-learning architecture, has shown promising results in airfoil inverse designs. In this study, we implement and trained a series of diffusion models on three different airfoil geometry data encoding formats [principal component weights, ordered [Formula: see t...
Yingfan Geng, Jinhong Wang, Teng Cao· AIAA Journal· 0 citations
Generalization in medical segmentation models is challenging due to limited annotated datasets and imaging variability. To address this, we propose Retinal Layout-Aware Diffusion (RLAD), a novel diffusion-based framework for generating controllable layout-aware images. RLAD conditions image generation on multiple key l...
Jonathan Fhima, Jan Van Eijgen, Lennert Beeckmans et al.· Machine Learning Health· 0 citations
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Divergent brain connectivity is thought to underlie the behavioral and cognitive symptoms observed in many neurodevelopmental disorders. Quantifying divergence from neurotypical connectivity patterns offers a promising pathway to inform diagnosis and therapeutic interventions. While advanced neuroimaging techniques, su...
Rui Shen, Livia Rodrigues, Yusuf Osmanlıoğlu et al.· Communications Medicine· 0 citations
This study addresses the computational challenges inherent in valuing American lookback options within a regime-switching jump-diffusion (RSJD) framework. We first formulate the pricing problem as a system of coupled partial integro-differential equations (PIDEs) structured as linear complementarity problems (LCPs), ri...
Summary Conventional pressure-transient analysis (PTA) has historically relied on the assumption of reservoir homogeneity—a simplification rooted in the foundational work of Theis (1935) and Horner (1951). Although multilayer, double-porosity, and double-permeability models were later introduced to account for heteroge...
C. C. Chen, W. C. Chu· SPE Annual Technical Confere...· 0 citations
Abstract Halite precipitation caused by brine drying out can seriously damage near-well permeability and reduce injectivity during CO2 storage in deep subsurface brine formations. This research employs the integration of high-pressure decay tests with the compositional reactive transport modeling to examine the potenti...
Abstract Downhole temperature measurements provide valuable information that remains largely underexploited for reservoir characterization and surveillance, despite its potential to decisively impact incremental oil recovery early in field development. However, reservoir temperature is governed by complex interactions...
C. Guimaraes, R. Horne, D. Tartakovsky· SPE Annual Technical Confere...· 0 citations
Abstract Mature oil reservoirs contain substantial residual oil after waterflooding, creating an opportunity to implement technology solutions to increase oil production. In a subsurface bioreaction, residual oil is converted to hydrogen (H2) and carbon dioxide (CO2), creating a coupled mechanism of a bioreaction and f...
S. Hussain, R. Ramanathan, M. Delshad et al.· SPE Annual Technical Confere...· 0 citations
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...
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.· SPE Annual Technical Confere...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
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.
