output
20092026
most citedEuler-Heisenberg lagrangians and asymptotic analysis in 1+1 QED, part 1: Two-loop

23 citations

75 papers

astro-ph.GA2026

Mid-Infrared Colors Vary with Galactic Environment: Contrasting Star-Forming Disks, Young Centers, and Quiescent Star-Formation Deserts

Debosmita Pathak, Karin M. Sandstrom, Adam K. Leroy +27

We present pc-resolution JWST/MIRI and NIRCam measurements of mid-infrared (mid-IR) color variations in the diffuse interstellar medium (ISM) of 71 nearby star-forming…

astro-ph.GA2026★ 3 cited

PDRs4All: XVIII. The evolution of the PAH ionisation and PAH size distribution across the Orion Bar

Alexandros Maragkoudakis, Christiaan Boersma, Els Peeters +25

We investigate the evolution of the PAH population's charge state and size across key physical zones in the Orion Bar, which include the HII region, the atomic PDR (APDR), and thre…

cs.CR2026★ 1 cited

Deep Learning-based Binary Analysis for Vulnerability Detection in x86-64 Machine Code

Mitchell Petingola

While much of the current research in deep learning-based vulnerability detection relies on disassembled binaries, this paper explores the feasibility of extracting features direct…

hep-th2025★ 2 cited

Equivalence of first and second order formulations of the Einstein-Hilbert theory

F. T. Brandt, J. Frenkel, S. Martins-Filho +1

We derive a general relation between the background effective actions, which directly proves that the two formulations of the Einstein-Hilbert theory with background fields are equ…

cs.CR2025★ 8 cited

Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation

Jenifer Paulraj, Brindha Raghuraman, Nagarani Gopalakrishnan +1

Critical infrastructure systems, including energy grids, healthcare facilities, transportation networks, and water distribution systems, are pivotal to societal stability and econo…

cs.CR2025★ 5 cited

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks

Mohammad F. Al-Hammouri, Yazan Otoum, Rasha Atwa +1

This paper presents a novel approach to intrusion detection by integrating traditional signature-based methods with the contextual understanding capabilities of the GPT-2 Large Lan…