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Physics Preprint PDF DOI

Hindered Prompt-Neutron Evaporation in Surrogate Reactions for $^{239}$Pu(n,f)

D. Ramos, M. Caamano, F. Farget, C. Rodriguez-Tajes, A. Lemasson, M. Rejmund, C. Schmitt, E. Clement, O. Litaize, O. Serot, L. Audouin, J. Benlliure, E. Casarejos, D. Cortina, D. Dore, B. Fernandez-Dominguez, G. de France, A. Heinz, B. Jacquot, C. Paradela, T. Roger · 2026

Isotopic fission-fragment distributions of $^{240}$Pu have been measured, for the first time, as a function of the initial excitation energy, and the prompt neutron multiplicity has been derived from …

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Physics Preprint PDF DOI

A graph-based Neural Network surrogate model for accelerating semi-analytical model of galaxy formation and evolution

Xuejie Li, Zhongxu Zhai, Xiaohu Yang, Andrew Benson, Yun Wang · 2026

Understanding how galaxy populations emerge and evolve from the growth of dark matter structure is a central challenge in galaxy formation theory. Semi-analytic models (SAMs) provide an efficient fram…

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AI & Data Science Preprint PDF DOI

int3ract: Johnson-Neyman Technique and its Three-Way Extension for Frequentist and Bayesian Models in R

Robert W. Krause · 2026

Interaction effects are ubiquitous in applied statistical modelling, yet their meaningful interpretation remains challenging. The classic Johnson-Neyman (JN) technique (Johnson and Neyman 1936) addres…

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Physics Preprint PDF DOI

Anisotropic spin-valley coupling in SiMOS and Si/SiGe quantum dots

N. Tobias Jacobson, Natalie D. Foster, Ryan M. Jock, Andrew M. Mounce, Daniel R. Ward, Malcolm S. Carroll, Dwight R. Luhman · 2026

While bulk silicon has long been understood to exhibit relatively weak spin-orbit coupling (SOC), confinement of electrons to quantum dots (QDs) at a silicon heterointerface results in significantly l…

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AI & Data Science Preprint PDF DOI

SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories

Shay Snyder, Andrew Capodieci, David Gorsich, Maryam Parsa · 2026

Sequential associative memories (SAMs) are difficult to build and maintain in real-world streaming environments, where observations arrive incrementally over time, have imbalanced sampling, and non-st…

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AI & Data Science Preprint PDF DOI

Efficient Search of Implantable Adaptive Cells for Medical Image Segmentation

Emil Benedykciuk, Marcin Denkowski, Grzegorz M. Wojcik · 2026

Purpose: Adaptive skip modules can improve medical image segmentation, but searching for them is computationally costly. Implantable Adaptive Cells (IACs) are compact NAS modules inserted into U-Net s…

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AI & Data Science Preprint PDF DOI

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

Minjae Lee, Sungwoo Hur, Soojin Hwang, Won Hwa Kim · 2026

Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced broad use of image segmentation. However, SAM and its variants necessitate substantial manual effor…

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Physics Preprint PDF DOI

An infinite family of homogeneous discrete equations with the Laurent property

Andrei K. Svinin · 2026

We present and investigate a new infinite family of homogeneous equations which possess the Laurent property. The first representative in this family is the well-known Somos-5 recurrence.…

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AI & Data Science Preprint PDF DOI

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance

Haoxi Zeng, Qiankun Liu, Yi Bin, Haiyue Zhang, Yujuan Ding, Guoqing Wang, Deqiang Ouyang, Heng Tao Shen · 2026

Open-Vocabulary Segmentation (OVS) aims to segment image regions beyond predefined category sets by leveraging semantic descriptions. While CLIP based approaches excel in semantic generalization, they…

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AI & Data Science Preprint PDF DOI

PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation

Dingwen Xiao, Weiming Zhang, Shiqi Wen, Lin Wang · 2026

360 video object segmentation (360VOS) aims to predict temporally-consistent masks in 360 videos, offering full-scene coverage, benefiting applications, such as VR/AR and embodied AI. Learning 360VOS …

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Physics Preprint PDF DOI

Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation

Viraj Pandya, Greg L. Bryan, T. Lucas Makinen, Austen Gabrielpillai, Christopher Carr, Drummond B. Fielding, Lars Hernquist, Matthew Ho, Kartheik Iyer, Christian Kragh Jespersen, Sophie Koudmani, Marta Laska, Pablo Lemos, Christopher C. Lovell, Lucia A. Perez, William F. Robinson Jr., Rachel S. Somerville, Tjitske K. Starkenburg, Richard Stiskalek, Bryan Terrazas, G. Mark Voit · 2026

Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for $\gtrsim50$ years, but their evolution equations remain poorly constrained. We introduce sapphire, a modular,…

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AI & Data Science Preprint PDF DOI

Learning to Synergize Semantic and Geometric Priors for Limited-Data Wheat Disease Segmentation

Shijie Wang, Zijian Wang, Yadan Luo, Scott Chapman, Xin Yu, Zi Huang · 2026

Wheat disease segmentation is fundamental to precision agriculture but faces severe challenges from significant intra-class temporal variations across growth stages. Such substantial appearance shifts…

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AI & Data Science Preprint PDF DOI

XSeg: A Large-scale X-ray Contraband Segmentation Benchmark For Real-World Security Screening

Hongxia Gao, Litao Li, Yixin Chen, Jiali Wen, Kaijie Zhang, Qianyun Liu · 2026

X-ray contraband detection is critical for public safety. However, current methods primarily rely on bounding box annotations, which limit model generalization and performance due to the lack of pixel…

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AI & Data Science Preprint PDF DOI

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation

Qiaochu Zhao, Wei Wei, David Horowitz, Richard Bakst, Yading Yuan · 2026

Automated medical image segmentation has achieved remarkable progress with fully labeled data. However, site-specific clinical priorities and the high cost of manual annotation often yield scans with …

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AI & Data Science Preprint PDF DOI

Adapting SAM to Nuclei Instance Segmentation and Classification via Cooperative Fine-Grained Refinement

Jingze Su, Tianle Zhu, Jiaxin Cai, Zhiyi Wang, Qi Li, Xiao Zhang, Tong Tong, Shu Wang, Wenxi Liu · 2026

Nuclei instance segmentation is critical in computational pathology for cancer diagnosis and prognosis. Recently, the Segment Anything Model has demonstrated exceptional performance in various segment…

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Chemistry Preprint PDF DOI

Microscopic Structure and Dynamics of Interfacial Water at Fluorinated vs Nonfluorinated Surfaces -- Insights from Ab-Initio Simulations and IR Spectroscopy

Maximilian R. Becker, Ruben Cruz, Kenichi Ataka, Joachim Heberle, Roland R. Netz · 2026

Per- and polyfluoroalkyl substances are a class of synthetic chemical compounds widely used as coatings to lower surface energies. Yet the microscopic mechanisms of their weak interaction with water a…

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AI & Data Science Preprint PDF DOI

Samas\=amayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation

N J Karthika, Keerthana Suryanarayanan, Jahanvi Purohit, Ganesh Ramakrishnan, Jitin Singla, Anil Kumar Gourishetty · 2026

We release Samas\=amayik, a novel, meticulously curated, large-scale Hindi-Sanskrit corpus, comprising 92,196 parallel sentences. Unlike most data available in Sanskrit, which focuses on classical era…

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AI & Data Science Preprint PDF DOI

FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation

Yukinori Yamamoto, Kazuya Nishimura, Tsukasa Fukusato, Hirokazu Nosato, Tetsuya Ogata, Hirokatsu Kataoka · 2026

Deep learning-based 3D medical image segmentation methods relies on large-scale labeled datasets, yet acquiring such data is difficult due to privacy constraints and the high cost of expert annotation…

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Physics Preprint PDF DOI

The CYGNO experiment: a gaseous TPC with optical readout for rare events searches

F.D. Amaro, R. Antonietti, E. Baracchini, L. Benussi, C. Capoccia, M. Caponero, L.G.M de Carvalho, G. Cavoto, I.A. Costa, A. Croce, M. D'Astolfo, G. D'Imperio, G. Dho, E. Di Marco, J.M.F. dos Santos, D. Fiorina, F. Iacoangeli, Z. Islam, H. P. Lima Jr, G. Maccarrone, R.D.P. Mano, D. J. G. Marques, G. Mazzitelli, P. Meloni, A. Messina, C.M.B. Monteiro, R.A. Nobrega, I.F. Pains, E. Paoletti, F. Petrucci, S. Piacentini, D. Pierluigi, D. Pinci, F. Renga, A. Russo, G. Saviano, P.A.O.C. Silva, N. J. C. Spooner, R. Tesauro, S. Tomassini, S. Torelli, D. Tozzi · 2026

The CYGNO collaboration is developing a novel strategy for directional Dark Matter searches based on a gaseous Time Projection Chamber (TPC). The detector is optimized for the exploration of light (0.…

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Physics Preprint PDF DOI

SAM Molecular Stacking with Heterogeneous Orientationfor High-Performance Perovskite Photovoltaics

Lei Huang, Kai-Li Wang, Zhang Chen, Zhen-Huang, Saidjafar Murodzoda, Xin Chen, Jing Chen, Chun-Hao Chen, Yu Xia, Yu-Tong Yang, Jia-Cheng Li, Dilshod Nematov, Ilhan Yavuz, Zhao-Kui Wang · 2026

This study demonstrates that thermal-evaporated SAM (eSAM) films, particularly in a thick configuration, spontaneously adopt a heterogeneous molecular orientation, forming a vertical-to-horizontal gra…

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