🔬 Category

physics.atm-clus

31 papers

Atmospheric clustering explores how tiny particles in the air group together to form clouds, fog, and even influence our weather patterns. This fascinating intersection of physics and meteorology reveals the invisible dance of molecules that shapes everything from a gentle breeze to a massive storm system. Understanding these microscopic interactions is key to predicting climate change and improving air quality forecasts for communities worldwide.

On Gist.Science, we track every new preprint published in the atmospheric clustering category on arXiv. Our team processes each submission to provide both a clear, plain-language explanation and a detailed technical summary, ensuring that complex research is accessible to students, policymakers, and curious minds alike.

Below are the latest papers in atmospheric clustering, updated daily directly from the source.

How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science

This paper introduces RADII, a new benchmark for characterizing the "extrapolation frontier" of graph generative models for materials science, revealing that while all models experience increased error when generating larger structures than those seen during training, their specific failure modes and scaling behaviors vary significantly across different architectures.

Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban2026-02-11🔬 cond-mat.mes-hall