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2,367 papers
A method is proposed, Z3D, that estimates pointmaps in unseen views by doing latent diffusion on 3DFM representation and it is shown that Z3D can predict realistic depth maps for new views across multiple datasets.
Future Work & Claimed Research Direction: Congestion-Aware Per-Node Damping While the global P̄_esc rule successfully calibrates the network-wide diffusion by setting the optimal baseline teleportation rate, our oracle ablations indicate an unexploited headroom (approx. +0.062 Spearman) available to a per-node damping...
The engineering of polymeric composite foams with tailored cellular architecture remains a critical challenge for sustainable active packaging. In this study, PLA/PBAT composite foams were developed via a sequential supercritical CO₂ (scCO₂) impregnation and foaming. Caffeic acid (CA) was incorporated as the active ant...
This deliverable describes the simulation work carried out during the first 18 months of the projectand serves as the foundation for the updated report to be delivered at M36. The activities focus ondeveloping and validating computational models to predict the optoelectronic response ofphotonic-enhanced interdigitated...
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This deliverable describes the simulation work carried out during the first 18 months of the projectand serves as the foundation for the updated report to be delivered at M36. The activities focus ondeveloping and validating computational models to predict the optoelectronic response ofphotonic-enhanced interdigitated...
ThermoDiff-PCM is a reproducibility package for physics-guided transfer diffusion applied to the inverse design of protic organic salt phase-change materials. The archive contains curated PCM development and locked validation tables, preprocessing and modeling scripts, trained checkpoints, leakage-control documentation...
The vertical trajectory of phytoplankton in the Antarctic ocean is modelled as a random walk with a diffusivity derived from a simple Ekman layer model and turbulence theory. The surface mixing layer is shallow, but diffusion is large enough to effect the vertical distribution of phytoplankton in the upper ocean.
Abstract Soot is widely present in combustion systems, yet its oxidation mechanisms remain unclear due to complex internal structures. Core–shell soot models with different maturity levels are constructed using high-resolution transmission electron microscopy. Furthermore, the effects of reaction conditions on soot oxi...
ABSTRACT Halfa grass ( Desmostachya bipinnata ) is an abundant lignocellulosic biomass with potential for thermochemical conversion and biochar production. This study investigated its physicochemical characteristics, pyrolysis kinetics, reaction mechanism, and thermodynamic behavior using an integrated experimental app...
Introduction Neuronal excitability depends on transmembrane gradients of sodium (Na), potassium (K), and chloride (Cl). Astrocytes contribute to ionic homeostasis by regulating extracellular ion concentrations through membrane channels, transporters, and spatial buffering across their extended processes and syncytial n...
Analysis code and tracked results asking whether modelling reaction time alongside choice recovers better item representations than modelling choice alone, in odd-one-out similarity judgement. Includes likelihoods and exact gradients for the LBA, the Racing Diffusion Model and an Advantage Racing Diffusion drift map; a...
Introduction Multiscale modeling (MSM) permits us to better understand how ischemia and spreading depolarization (SD) together damage neurons. However, it is a long step from there to producing clinical tools to counter or prevent stroke. Such tools must include clinical data from neurology and cardiology, endocrinolog...
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.
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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