43 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.
This study utilizes time-resolved coincident Coulomb explosion imaging to map the ultrafast structural dynamics of UV-excited diiodomethane, revealing dominant bond cleavage pathways and identifying a transient, short-lived iso- configuration that forms and decays within approximately 200 femtoseconds.
By combining atomic force microscopy with first-principles calculations, this study reveals that subsurface defects in partially reduced CeO(111) break symmetry to dictate the asymmetric orientation of adsorbed water molecules, thereby identifying specific Ce sites as thermodynamically favored centers for catalytic reactivity.
This paper introduces NEMS-FTIR, a highly sensitive, cryogen-free photothermal spectroscopy technique capable of detecting and chemically identifying picogram-level nanoplastics in aqueous samples, including complex mixtures and real-world scenarios like tea brewing, with detection limits significantly lower than existing methods.