The subatomic world is a realm where matter behaves in ways that defy our everyday intuition, and this category explores the fundamental building blocks of our universe. From the intricate dance of quarks inside a proton to the strange properties of electrons, these studies reveal the deep rules that govern everything from the smallest particles to the largest stars.

At Gist.Science, we track every new preprint in this field as it appears on arXiv, ensuring you stay ahead of the curve. For each discovery, we provide both a clear, plain-language explanation of the core ideas and a detailed technical summary for those who want to dive deeper into the mathematics and methodology.

Below are the latest papers in Atom-Ph, offering fresh insights into the structure and behavior of the atomic scale.

Ionization of Rydberg atoms embedded in Ultracold Plasma due to electron-atom interaction

This paper analytically computes electron-Rydberg atom ionization cross sections for Cesium using quantum mechanical potential scattering, demonstrating that the observed rapid increase in ionization above a specific Rydberg state is driven by the relationship between the scattering length and the orbital radius, with results closely matching experimental data.

Satyam Prakash, Ashok S Vudayagiri2026-03-18🔬 physics.atom-ph

The fate of the Fermi surface coupled to a single-wave-vector cavity mode

This paper theoretically solves the problem of competing instabilities in an ultracold Fermi gas coupled to a single-wave-vector cavity mode, revealing that while attractive interactions drive a density-wave instability, repulsive interactions favor non-superradiant superfluid phases and universally deform the Fermi surface, with these phenomena being accessible to current experimental setups.

Bernhard Frank, Michele Pini, Johannes Lang, Francesco Piazza2026-03-18🔬 physics.atom-ph

Pulse Shape Discrimination Algorithms: Survey and Benchmark

This paper presents a comprehensive survey and benchmark of nearly sixty pulse shape discrimination algorithms, demonstrating through standardized evaluation on two datasets that deep learning models often outperform traditional methods while providing an open-source toolbox to advance reproducibility in radiation detection research.

Haoran Liu, Yihan Zhan, Mingzhe Liu, Yanhua Liu, Peng Li, Zhuo Zuo, Bingqi Liu, Runxi Liu2026-03-18⚛️ nucl-ex

Microwave electrometry with quantum-limited resolutions in a Rydberg atom array

This paper demonstrates a breakthrough in microwave electrometry using individual Rydberg atoms in an optical tweezer array, achieving quantum-limited sensitivity, ultra-fast nanosecond response times, and sub-micrometer spatial resolution that collectively surpass the fundamental constraints of classical antenna-based sensing.

Yao-Wen Zhang, De-Sheng Xiang, Ren Liao, Hao-Xiang Liu, Biao Xu, Peng Zhou, Yijia Zhou, Kuan Zhang, Lin Li2026-03-18🔬 physics.atom-ph

Physics-informed neural networks for solving strong-field saddle-point equations in strong-field physics with tailored fields

This paper introduces an unsupervised physics-informed neural network with a specialized window parametrization strategy to robustly solve saddle-point equations for strong-field ionization across tailored laser fields, offering a stable alternative to conventional solvers for computing photoelectron momentum distributions and enabling systematic exploration of complex semiclassical regimes.

Jiakang Chen, Sufia Hashim, Carla Figueira de Morisson Faria2026-03-18🔬 physics.atom-ph

Probing keV mass QCD axions with the SACLA X-ray free electron laser

This paper extends previous bounds on the axion-photon coupling by over an order of magnitude using the SACLA X-ray free electron laser and the Borrmann effect in Laue crystals, achieving the most stringent laboratory constraints to date for QCD axions in the 3.46–3.48 keV mass range.

Charles Heaton, Jack W. D. Halliday, Taito Osaka, Ichiro Inoue, Sifei Zhang, Ahmed Alsulami, Joshua T. Y. Chu, Mila Fitzgerald, Takaki Hatsui, Motoaki Nakatsutsumi, Haruki Nishino, Atsushi O. Tokiyasu (…)2026-03-18🔬 physics.atom-ph

Monolithic Segmented 3D Ion Trap for Quantum Technology Applications

This paper presents a scalable, monolithic 3D fused silica blade ion trap that successfully combines high optical access and low motional heating rates with stable high-voltage operation for heavy ions, achieving a two-qubit gate fidelity exceeding 99% and establishing a robust platform for advanced quantum technologies.

Abhishek Menon, Michael Strauss, George Tomaras, Liam Jeanette, April X. Sheffield, Devon Valdez, Yuanheng Xie, Visal So, Henry De Luo, Midhuna Duraisamy Suganthi, Mark Dugan, Philippe Bado, Norbert M (…)2026-03-18🔬 physics.atom-ph

Quasi-continuous sub-μμK strontium source without a high-finesse cavity stabilized laser

This paper demonstrates a robust, high-flux strontium source capable of producing quasi-continuous sub-microkelvin samples without a high-finesse cavity-stabilized laser, utilizing instead a dispersion-optimized fiber frequency comb referenced to either a metrology-grade RF signal or a tunable source stabilized by a magneto-optical trap.

Sana Boughdachi, Benedikt Heizenreder, Ananya Sitaram, Erik Dierikx, Yan Xie, Sander Klemann, Paul Klop, Jeroen Koelemeij, Rafał Wilk, Florian Schreck, Andreas Brodschelm2026-03-17🔬 physics.atom-ph