This collection explores the fascinating world of physics, specifically focusing on theories and experiments ranging from acoustics to the physics of open quantum systems. Here, you will find groundbreaking research that helps us understand how sound travels, how light interacts with matter, and the fundamental forces shaping our universe, all explained without dense academic barriers.

At Gist.Science, we process every new preprint in this category directly from arXiv to ensure you have immediate access to the latest discoveries. For each paper, we provide both a clear, plain-language explanation for curious minds and a detailed technical summary for researchers, bridging the gap between complex data and human understanding.

Below are the most recent physics papers from Ao to Ph, freshly processed and ready for you to explore.

🔬 physics

Global Kilometer-Scale Simulations with ARP-GEM2: Effect of Parameterized Convection and Calibration

This paper documents the calibration of the kilometer-scale global atmospheric model ARP-GEM2 and demonstrates that, at resolutions up to 2.6 km, parameterized convection remains essential for accurately representing the mean state while a balance must be struck between mean state fidelity and climate variability, suggesting that even higher resolutions may be required to fully realize the benefits of explicit convection.

Olivier Geoffroy, David Saint-Martin2026-07-20
🔬 physics

Global kilometer-scale climate simulations: new opportunities for climate services

This paper presents a century-long, global climate simulation at 2.6 km resolution using the ARP-GEM model, demonstrating the feasibility of kilometer-scale modeling to better represent fine-scale phenomena and support climate services for France's dispersed overseas territories, despite current limitations regarding prescribed sea surface temperatures.

David Saint-Martin, Olivier Geoffroy, Gildas Dayon2026-07-20
🔬 condensed matter

Data-driven analysis of metastability in a stochastic bistable system

This paper presents a data-driven methodology using the Koopman operator to analyze metastability in stochastic bistable systems by tracking subdominant modes to accurately predict escape statistics, reconstruct basins of attraction, and characterize multi-scale dynamics in both equilibrium and nonequilibrium conditions without relying on trajectory following.

Ankan Banerjee, Manuel Santos Gutierrez, John Moroney, Valerio Lucarini2026-07-17
🔬 physics

Criticality and reduced dynamical resilience in PM2.5 pollution systems

This paper introduces a finite-memory multiplicative reversion process to demonstrate that high PM2.5 pollution regimes exhibit dynamical criticality characterized by reduced resilience and critical slowing down, revealing that recovery capacity varies significantly across regions and serves as a crucial complementary dimension to concentration-based air-quality assessment.

Yuan Chen, Yongwen Zhang, Xu Li, Dean Chen, Jingfang Fan, Yosef Ashkenazy, Deliang Chen, Shlomo Havlin2026-07-17
🔬 physics

Satellite monitoring of annual US landfill methane emissions and trends

Satellite observations from 2019–2023 reveal that methane emissions from four major US landfills are on average six times higher than official EPA reports and are increasing, suggesting that the reported national decline in landfill emissions is an artifact of reporting methodologies rather than a genuine reduction.

Nicholas Balasus, Daniel J. Jacob, Gabriel Maxemin, Carrie Jenks, Hannah Nesser, Joannes D. Maasakkers, Daniel H. Cuswor (…)2026-07-15