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From the 2 of 13 papers with an AI index.

most citedOperation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam

2 citations

13 papers

cs.NI2026

Scaling the Lightning Network with Practical Set Reconciliation

Xingyu Chen, Anish Sinha, David Starobinski +1

The Lightning Network (LN) utilizes gossip to share network topology, channel announcements and updates, and node announcements among its local constituents. Yet, our measurements…

astro-ph.IM2026

Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory

Courtney D. Dressing, Danica Adams, Evelyne Alecian +324

The paper summarizes 70 science cases for the proposed NASA Habitable Worlds Observatory, outlining the observational needs across four scientific pillars and detailing required ca…

hep-ex2026

An improved direct limit on the muon electric dipole moment

2 Collaboration, D. P. Aguillard, T. Albahri +192

A limit on the permanent electric dipole moment (EDM) of the positive muon is presented based on data from the Fermilab Muon g-2 Experiment taken between 2019 and 2020. The trackin…

physics.space-ph2026

Simultaneous Mars-orbit observations reveal Kelvin-Helmholtz instability-driven bulk atmospheric ion escape

Chi Zhang, Chuanfei Dong, Gangkai Poh +11

Atmospheric ion escape driven by the solar wind is a key process controlling the long-term loss of the Martian atmosphere. Localized plasma clouds can carry substantial fluxes of p…

astro-ph.EP20261 cited

Plasma and Thermal Processing Leading to Spatial and Temporal Variability of the Trapped O2 at Europa and Ganymede

Apurva V. Oza, Robert E. Johnson, Carl A. Schmidt +2

The paper examines how magnetospheric plasma and thermal processes create, trap, and release molecular oxygen on the icy surfaces of Europa and Ganymede, explaining observed aurora…

cs.CY2026

Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research

Krishna Padmanabhan, Minxin Lu, Dai Feng +4

We present a structured review of commonly used Explainable machine learning (XML) methodologies, including global and local interpretability tools such as SHapley Additive exPlana…