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This diffusion‑limited regime likely dominates for fluffier aggregates made of phytoplankton remains, fecal pellets, or ...
A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...
Say goodbye to hallucinations and weird errors when you use Stable Diffusion models through Stability AI's assistant chatbot ...
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Interesting Engineering on MSNNew hypersonic computer model simulates gas, droplet particles flying at 3,836 mphThe model predicts how fuel droplets and gas particles behave in detonation waves. These waves occur in rocket engines, ...
Two studies fill in gaps about the cosmos’s ordinary matter. One maps it all, even the “missing matter.” The other details one of its hiding spots.
A phonon-based theoretical framework for liquids marks a major step toward a universal equation of state with broad implications across physics, chemistry and engineering ...
Modern Engineering Marvels on MSN13d
Fallout Mapping, Advanced Dispersion Models, and the Unsettling Science of Nuclear Risk Across the United StatesNowhere is truly ‘safe’ from fallout and other consequences like contamination of food and water supplies and prolonged ...
In this letter, denoising diffusion implicit models (DDIM), a computation-efficient class of probabilistic diffusion models, are proposed for improving the reconstruction performance of end-users in ...
In this paper, we introduce a randomness-restricted diffusion model for multiple ocular surface structure segmentation. First, a time-controlled fusion-attention module (TFM) is proposed to ...
The main modifications made to the generate_images_FBG.py file are the following: The update_log_posterior function, which is essential for the working of FBG, is added inside the edm_sampler. The ...
Biopolymer networks having a meshwork topology, e.g., extracellular matrices and mucus gels, are ubiquitous. Understanding the diffusion mechanism of self-propelled agents, including Janus colloidal ...
Both the inverse and forward renderers are video diffusion models trained on a combination of curated synthetic datasets and auto-labeled real-world videos. Unlike classic PBR, which relies on precise ...
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