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Physics Preprint PDF DOI

An axion framework for Particle-in-Cell codes with Monte-Carlo sampling: emission, absorption, and detailed balance in plasmas

Miles Radford, Ahmed Alsulami, Bertrand Martinez, Pablo Bilbao, Thomas Grismayer, Luis O. Silva, Robert Bingham, Gianluca Gregori · 2026

We present an extension of the OSIRIS particle-in-cell (PIC) code that introduces an axion macroparticle species and three axion-production channels commonly used in thermal-plasma axion phenomenology…

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Chemistry Preprint PDF DOI

Perspective on a challenge: predicting the photochemistry of cyclobutanone

Jiri Janos, Nanna Holmgaard List, Andrew J. Orr-Ewing, Jiri Suchan, Mario Barbatti, Olivia Bennett, Marcus Brady, Javier Carmona-Garcia, Rachel Crespo-Otero, Julien Eng, O. Jonathan Fajen, Marco Garavelli, Sandra Gomez, Alice E. Green, Federico J. Hernandez, Daniel Hollas, Lewis Hutton, Lea M. Ibele, Adam Kirrander, Zhenggang Lan, Yorick Lassmann, Joseph E. Lawrence, Benjamin G. Levine, Dmitry V. Makhov, Jonathan R. Mannouch, Xincheng Miao, Roland Mitric, Shane M. Parker, Thomas J. Penfold, Jiawei Peng, Jeremy O. Richardson, Dmitrii Shalashilin, Petr Slavicek, K. Eryn Spinlove, Patricia Vindel-Zandbergen, Federica Agostini, Sara Bonella, Todd J. Martinez, Graham A. Worth, Basile F. E. Curchod · 2026

This Perspective is part of a Special Topic that explored the maturity of nonadiabatic molecular dynamics for predicting photochemical processes. In 2023, a prediction challenge was issued to the comm…

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Mathematics Preprint PDF DOI

$C^{1/5^{-}}$ Convex Integration Solutions of Ideal MHD

Matteo Giardi, Laszlo Szekelyhidi Jr · 2026

For any $0\leq \gamma < 1/5$, we construct weak solutions $(v, B, p )$ of the Ideal MHD Equations which do not conserve the total kinetic energy, the cross-helicity and lie in $C^\gamma(\mathbb{T}^3\t…

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Computer Science Preprint PDF DOI

CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction

Hector R. Rodriguez, Jiechen Huang, Wenjian Yu · 2026

We present CapBench, a fully reproducible, multi-PDK dataset for capacitance extraction. The dataset is derived from open-source designs, including single-core CPUs, systems-on-chip, and media acceler…

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AI & Data Science Preprint PDF DOI

TaFall: Balance-Informed Fall Detection via Passive Thermal Sensing

Chengxiao Li, Xie Zhang, Wei Zhu, Yan Jiang, Chenshu Wu · 2026

Falls are a major cause of injury and mortality among older adults, yet most incidents occur in private indoor environments where monitoring must balance effectiveness with privacy. Existing privacy-p…

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Computer Science Preprint PDF DOI

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation

WooJoo Kim, JunYoung Kim, JaeHyung Lim, SeongJin Choi, SeongKu Kang, HwanJo Yu · 2026

Sequential recommendation requires capturing diverse user behaviors, which a single network often fails to capture. While ensemble methods mitigate this by leveraging multiple networks, training them …

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Mathematics Preprint PDF DOI

Determinantally Equivalent Functions Beyond the Nowhere-Zero Case

Harry Sapranidis Mantelos · 2026

Let $\Lambda$ be a set and $\mathbb{F}$ a field, and suppose that $K,Q:\Lambda^2\to\mathbb{F}$ are two functions such that for any $n\in\mathbb{N}$ and $x_1,x_2,\ldots,x_n\in\Lambda$, the determinants…

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Computer Science Preprint PDF DOI

GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance

Ziyu Mu, Xiyu Shi, Safak Dogan · 2026

Intrusion Detection System (IDS) is often calibrated to known attacks and generalizes poorly to unknown threats. This paper proposes GMA-SAWGAN-GP, a novel generative augmentation framework built on a…

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AI & Data Science Preprint PDF DOI

PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation

Mingju Gao, Kaisen Yang, Huan-ang Gao, Bohan Li, Ao Ding, Wenyi Li, Yangcheng Yu, Jinkun Liu, Shaocong Xu, Yike Niu, Haohan Chi, Hao Chen, Hao Tang, Yu Zhang, Li Yi, Hao Zhao · 2026

Hand-object interaction (HOI) reconstruction and synthesis are becoming central to embodied AI and AR/VR. Yet, despite rapid progress, existing HOI generation research remains fragmented across three …

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Engineering Preprint PDF DOI

RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning

Dong Heon Cho, Boyuan Chen · 2026

Differentiable simulators enable gradient-based optimization of soft robots over material parameters, control, and morphology, but accurately modeling real systems remains challenging due to the sim-t…

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AI & Data Science Preprint PDF DOI

Occlusion-Aware SORT: Observing Occlusion for Robust Multi-Object Tracking

Chunjiang Li, Jianbo Ma, Li Shen, Yanru Chen, Liangyin Chen · 2026

Multi-object tracking (MOT) involves analyzing object trajectories and counting the number of objects in video sequences. However, 2D MOT faces challenges due to positional cost confusion arising from…

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Mathematics Preprint PDF DOI

Pressure-robustness for the axisymmetric Stokes problem by velocity reconstruction

Philip L. Lederer, Christoph Lehrenfeld, Christian Merdon, Tim van Beeck · 2026

This paper studies pressure-robustness for the axisymmetric Stokes problem. The transformation to cylindrical coordinates requires that the radially weighted velocity is divergence-free in the classic…

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AI & Data Science Preprint PDF DOI

RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis

Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Bosi Wen, Yidong Wang, Lin Fan, Yilin Zhou, Zikang Wang, Wenbo Yu, Lindong Wu, Hongning Wang, Minlie Huang · 2026

Large Language Models have evolved from single-round generators into long-horizon agents, capable of complex text synthesis scenarios. However, current evaluation frameworks lack the ability to assess…

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Physics Preprint PDF DOI

A deep HST view of the open cluster NGC2158: binaries, mass functions, and M-dwarf discontinuity

A. V. Marchuk, F. Muratore, A. P. Milone, M. V. Legnardi, F. D'Antona, G. Cordoni, A. Mastrobuono-Battisti, E. Bortolan, F. Dell'Agli, E. Dondoglio, E. P. Lagioia, A. F. Marino, M. Tailo, C. Ventura, P. Ventura, T. Ziliotto · 2026

A significant fraction of stars in both the Galactic field and stellar clusters are members of binary systems. Understanding their properties is therefore essential for a comprehensive view of stellar…

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Engineering Preprint PDF DOI

An Implementation of the Crack Topology Score with Extensions

Siheon Joo, Hongjo Kim · 2026

The Crack Topology Score (CTS) is a recently proposed metric that focuses on evaluating the topological correctness of crack segmentation outputs. While pixel-wise metrics such as IoU or F1-score fail…

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Mathematics Preprint PDF DOI

Spectral norm of matrices with independent entries up to polyloglog

Rafa{l} Meller · 2025

In this paper, we study the expectation of the operator norm of the random matrix (a_{ij} X_{ij}) for i,j <= n, under the assumption that the random variables (X_{ij}) are independent, symmetric and s…

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Physics Preprint PDF DOI

Magnetic and Transport Studies of the TbAgAl compound at high fields

Ashwin Mohan, Radha S · 2025

In order to further investigate the magnetic state of the RAgAl series, the magnetization measurements on the TbAgAl compound from this series have been extended to higher fields of 12 Tesla in the te…

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Mathematics Preprint PDF DOI

Parameter-free inexact block Schur complement preconditioning for linear poroelasticity under a hybrid Bernardi-Raugel and weak Galerkin finite element discretization

Weizhang Huang, Zhuoran Wang · 2025

This work investigates inexact block Schur complement preconditioning for linear poroelasticity problems discretized using a hybrid approach: Bernardi-Raugel elements for solid displacement and lowest…

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AI & Data Science Preprint PDF DOI

Local LLM Ensembles for Zero-shot Portuguese Named Entity Recognition

Joao Lucas Luz Lima Sarcinelli, Diego Furtado Silva · 2025

Large Language Models (LLMs) excel in many Natural Language Processing (NLP) tasks through in-context learning but often under-perform in Named Entity Recognition (NER), especially for lower-resource …

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AI & Data Science Preprint PDF DOI

Context-Specific Causal Graph Discovery with Unobserved Contexts: Non-Stationarity, Regimes and Spatio-Temporal Patterns

Martin Rabel, Jakob Runge · 2025

Real-world problems, for example in climate applications, often require causal reasoning on spatially gridded time series data or data with comparable structure. While the underlying system is often b…

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