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๐Ÿ” yushi uno ๐Ÿ“‚ Physics
Showing 3700 results for "yushi uno" in Physics
Physics Preprint PDF DOI

Chemical Taxonomy of $\omega$~Centauri: Ten Populations Reveal a Multi-Phase Enrichment History

Furkan Akbaba, Olcay Plevne, Timur Sahin, Sena Aleyna Senturk ยท 2026

$\omega$~Centauri, the most massive globular cluster in the Milky Way, exhibits a level of stellar population complexity that has long resisted a unified chemical characterisation. We exploit high-resโ€ฆ

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Hybrid Fourier Neural Operator-Lattice Boltzmann Method

Alexandra Junk, Josef M. Winter, Meike Tutken, Steffen Schmidt, Nikolaus A. Adams ยท 2026

We propose an accelerated computational fluid dynamics framework based on a hybrid Fourier Neural Operator-Lattice Boltzmann Method (FNO-LBM) for steady and unsteady weakly compressible flows. FNO-basโ€ฆ

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Unveiling the dynamics of the ultra-fast outflow in IRAS 13224-3809 with X-ray spectroscopy

Pierpaolo Condo, Francesco Tombesi, Marco Laurenti, Alfredo Luminari, Riccardo Middei, Enrico Piconcelli, Massimo Gaspari, Giorgio Lanzuisi, Roberto Serafinelli, Alessia Tortosa, Luca Zappacosta, Fabrizio Nicastro ยท 2026

IRAS 13224-3809 is one of the most intensively studied narrow-line Seyfert 1 galaxies, with a rich literature reporting diverse and sometimes contrasting interpretations of its complex X-ray spectra aโ€ฆ

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Electronic structure, quasiparticle renormalizations, and magnetic correlations in the alternating single-layer bilayer nickelate La$_5$Ni$_3$O$_{11}$

I. V. Leonov ยท 2026

Using DFT+DMFT we study the normal-state electronic structure and magnetic correlations of the recently discovered alternating single-layer bilayer Raddlesden-Popper nickelate La$_5$Ni$_3$O$_{11}$ (12โ€ฆ

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Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence

Sunan Zhao, Yunpeng Wang, Huiyu Yang, Zhihong Guo, Jianchun Wang ยท 2026

Accurate and efficient prediction of three-dimensional (3D) wall-bounded turbulent flows poses a significant challenge for machine learning methods, particularly in scenarios where flow field data areโ€ฆ

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Embedded underwater front-end electronics for the 3-inch photomultipliers in the JUNO experiment

Cedric Cerna, Miao He, Xiaoshan Jiang, Juan Pedro Ochoa-Ricoux, Frederic Perrot, Angel Abusleme, Thomas Adam, Fengpeng An, Costas Andreopoulos, Giuseppe Andronico, Joao Pedro Athayde Marcondes de Andre, Nikolay Anfimov, Vito Antonelli, Tatiana Antoshkina, Didier Auguste, Nikita Balashov, Andrea Barresi, Davide Basilico, Eric Baussan, Marco Beretta, Antonio Bergnoli, Svetlana Biktemerova, Thilo Birkenfeld, Simon Blyth, Manuel Boehles, Anastasia Bolshakova, Mathieu Bongrand, Clement Bordereau, Matteo Borghesi, Dominique Breton, Augusto Brigatti, Riccardo Brugnera, Riccardo Bruno, Antonio Budano, Jose Busto, Marcel Buchner, Anatael Cabrera, Barbara Caccianiga, Hao Cai, Xiao Cai, Yi-zhou Cai, Stephane Callier, Antonio Cammi, Augustin Campeny, Guofu Cao, Jun Cao, Yaoqi Cao, Rossella Caruso, Nunzio Giudice, Maxim Gonchar, Guanda Gong, Guanghua Gong, Yuri Gornushkin, Marco Grassi, Maxim Gromov, Vasily Gromov, Minhao Gu, Xiaofei Gu, Yu Gu, Mengyun Guan, Yuduo Guan, Nunzio Guardone, Rosa Maria Guizzetti, Cong Guo, Wanlei Guo, Caren Hagner, Hechong Han, Yang Han, Chuanhui Hao, Vidhya Thara Hariharan, Wei He, Xinhai He, Tobias Heinz, Patrick Hellmuth, Yuekun Heng, Rafael Herrera, YuenKeung Hor, Shaojing Hou, Fatima Houria, Gerard Claverie, Catia Clementi, Barbara Clerbaux, Claudio Coletta, Davide Chiesa, Pietro Chimenti, Ziliang Chu, Artem Chukanov, Marta Colomer Molla, Fabio Mantovani, Stefano M. Mari, Agnese Martini, Johann Martyn, Matthias Mayer, Davit Mayilyan, Yue Meng, Anselmo Meregaglia, Lino Miramonti, Michele Montuschi, Iwan Morton-Blake, Xiangyi Mu, Lakshmi Murgod, Massimiliano Nastasi, Dmitry V. Naumov, Elena Naumova, Igor Nemchenok, Elisabeth Neuerburg, Alexey Nikolaev, Feipeng Ning, Zhe Ning, Yujie Niu, Hiroshi Nunokawa, Lothar Oberauer, Sebastian Olivares, Alexander Olshevskiy, Domizia Orestano, Fausto Ortica, Rainer Othegraven, Yifei Pan, Alessandro Paoloni, George Parker, Yatian Pei, Luca Pelicci, Anguo Peng, Yu Peng, Zhaoyuan Peng, Elisa Percalli, Willy Perrin, Fabrizio Petrucci, Oliver Pilarczyk, Artyom Popov, Pascal Poussot, Ezio Previtali, Fazhi Qi, Ming Qi, Sen Qian, Xiaohui Qian, Zhaoxiang Wu, Zhi Wu, Michael Wurm, Jacques Wurtz, Dongmei Xia, Shishen Xian, Ziqian Xiang, Fei Xiao, Pengfei Xiao, Tianying Xiao, Xiang Xiao, Wei-Jun Xie, Xiaochuan Xie, Yuguang Xie, Zhizhong Xing, Benda Xu, Cheng Xu, Chuang Xu, Donglian Xu, Fanrong Xu, Jiayang Xu, Jilei Xu, Jinghuan Xu, Meihang Xu, Shiwen Xu, Xunjie Xu, Dongyang Xue, Jingqin Xue, Baojun Yan, Qiyu Yan, Taylor Yan, Xiongbo Yan, Changgen Yang, Chengfeng Yang, Fengfan Yang, Jie Yang, Kaiwei Yang, Lei Yang, Pengfei Yang, Xiaoyu Yang, Xuhui Yang, Zekun Yang, Haifeng Yao, Jiaxuan Ye, Mei Ye, Ziping Ye, Frederic Yermia, Jilong Yin, Weiqing Yin, Xiaohao Yin, Zhengyun You, Boxiang Yu, Chiye Yu, Chunxu Yu, Hongzhao Yu, Peidong Yu, Simi Yu, Zeyuan Yu, Cenxi Yuan, Noman Zafar, Jilberto Zamora, Vitalii Zavadskyi, Fanrui Zeng, Shan Zeng, Tingxuan Zeng, Liang Zhan, Bin Zhang, Feiyang Zhang, Han Zhang, Hangchang Zhang, Haosen Zhang, Honghao Zhang, Jiawen Zhang, Jie Zhang, Jingbo Zhang, Junwei Zhang, Lei Zhang, Ping Zhang, Qingmin Zhang, Rongping Zhang, Shiqi Zhang, Shuihan Zhang, Tao Zhang, Xiaomei Zhang, Xu Zhang, Xuantong Zhang, Yibing Zhang, Yinhong Zhang, Yiyu Zhang, Yongpeng Zhang, Yuanyuan Zhang, Yumei Zhang, Zhicheng Zhang, Zhijian Zhang, Jie Zhao, Runze Zhao, Shujun Zhao, Yangheng Zheng, Li Zhou, Shun Zhou, Xiang Zhou, Xing Zhou, Jingsen Zhu, Kangfu Zhu, Kejun Zhu, Bo Zhuang, Honglin Zhuang, Jiaheng Zou ยท 2026

The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kton liquid scintillator-based, low-radioactivity, multi-purpose neutrino detector located 693 meters (1800 m.w.e.) underground in the Guanโ€ฆ

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Benchmarking Universal Machine-Learned Interatomic Potentials for High-Temperature Metal-Organic Framework Chemistry

Connor W. Edwards, Jack D. Evans ยท 2026

Universal machine-learned interatomic potentials (uMLIPs) offer a promising approach to performing atomistic simulations at near-DFT accuracy with greatly reduced computational cost. Here, we present โ€ฆ

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Multi-scale Dynamic Wake Modeling of Floating Offshore Wind Turbines via Fourier Neural Operators and Physics-Informed Neural Networks

Guodan Dong, Jianhua Qin, Chang Xu ยท 2026

Multi-scale dynamic wake prediction is essential for the real-time control and performance optimization of floating offshore wind turbines (FOWTs). In this study, Fourier neural operators (FNOs) and pโ€ฆ

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Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds

E. Amenta, M. Brienza, G. Bruni, M. Brusa, R. Morganti, F. Panessa, R. D. Baldi, E. Behar, G. Lanzuisi, T. Shimwell, F. Tombesi, S. Bianchi, G. Chartas, A. Comastri, G. Cresci, B. De Marco, F. Fiore, M. Gaspari, V. E. Gianolli, R. Gilli, S. B. Kraemer, G. Kriss, Y. Krongold, F. La Franca, A. L. Longinotti, M. Mehdipour, E. Nardini, M. Perna, P. Petrucci, E. Piconcelli, G. Ponti, F. Ricci, L. Zappacosta ยท 2026

Most Active Galactic Nuclei (AGN) are Radio Quiet, with radio emission that may arise from star-formation activity, AGN-driven winds, weak jets, and coronal activity. Disentangling these mechanisms isโ€ฆ

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$SO(10)$-inspired leptogenesis

Pasquale Di Bari ยท 2026

In the first part of the talk, I review general properties of $SO(10)$-inspired leptogenesis. This high-scale leptogenesis scenario is based on the simple assumption that the neutrino Dirac mass matriโ€ฆ

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Physics Preprint PDF DOI

Implications of the First JUNO Results for Dirac Neutrino Texture Zeros

Priya, Ranjeet Kumar, Labh Singh, Surender Verma ยท 2026

Motivated by the first oscillation results from JUNO, we study the phenomenological viability of texture zeros in the Dirac neutrino mass matrix. The improved precision on the solar mixing angle $\sinโ€ฆ

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On the relative CNO underabundance in quasar absorption systems at $z \sim 3$ arising from Population III enrichment and attenuation by intermediate-mass black holes and primordial baryon accretion

Murilo Macedo, Carlos Alexandre Wuensche, Oswaldo Duarte Miranda ยท 2026

This article uses an adapted version of the semi-analytical model of cosmic chemical enrichment developed by \citet{Corazza_2022} to reproduce the observed abundances of C, N, and O in absorption systโ€ฆ

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Resolution-Agnostic Lensless Imaging via Fourier Neural Operators

Kerem Ekec, Ugur Tegin ยท 2026

Lensless cameras based on thin diffusers offer a compact alternative to conventional refractive imaging but rely on computational reconstruction, since the diffuser's point spread function (PSF) globaโ€ฆ

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Device-area selection of memristive transport regimes in epitaxial $Hf_{0.5}Zr_{0.5}O_{2}$-based ferroelectric devices

Priscila A. Tapia Presas, Lautaro Galarregui, Wilson Roman Acevedo, Myriam H. Aguirre, Jose Santiso, Sylvia Matzen, Beatriz Noheda, Diego Rubi ยท 2026

Ferroelectric memristive devices based on hafnia are promising systems for neuromorphic electronics, yet the interplay between polarization-modulated resistive changes and defect-mediated transport ofโ€ฆ

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Phenomenology of Vanishing Effective Majorana Mass with a Sterile Neutrino under Cosmological and JUNO Constraints

Rushi Chambyal, Tapender, Labh Singh, Surender Verma ยท 2026

In the present work we investigate the phenomenological implications of a vanishing effective Majorana neutrino mass within a $3+1$ neutrino framework adding a eV-scale sterile neutrino beside three aโ€ฆ

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Realistic Detector Geometry Modeling and Its Impact on Event Reconstruction in JUNO

Zhaoxiang Wu, Miao He, Wuming Luo, Ziyan Deng, Wei He, Yuekun Heng, Xiaoping Jing, Bo Li, Xiaoyan Ma, Xiaohui Qian, Zhonghua Qin, Yifang Wang, Peidong Yu ยท 2026

JUNO is designed to determine the neutrino mass ordering with an energy resolution of 3% at 1 MeV. In the real detector, however, deformations of the central stainless-steel structure during installatโ€ฆ

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Topographic patterning in perovskite oxide membranes for local control of strain, nanomechanics and electronic structure

Marti Ramis, Markos Paradinas, Jose M. Caicedo, Claudio Cazorla, Roger Guzman, Mariona Coll ยท 2026

Single-crystalline perovskite oxide membranes provide a powerful platform to access physical properties that are inaccessible in bulk crystals and substrate-clamped thin films. Within this context, thโ€ฆ

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ALD W-Doped SnO$_2$ TFTs for Indium-Free BEOL Electronics

Mansi Anil Patil, Devarshi Dhoble, Shivaram Kubakaddi, Mamta Raturi, Marco A Villena, Gaurav Thareja, Saurabh Lodha ยท 2026

This work reports back-end-of-line (BEOL) compatible, thin-film transistors (TFTs) with sub-10 nm tungsten-doped tin oxide (TWO) channels deposited by atomic layer deposition (ALD) at 150 $^\circ$C. Tโ€ฆ

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Uni-vector deformations, D0-bound states and DLCQ

Sergei Barakin, Kirill Gubarev, Edvard T. Musaev ยท 2026

We investigate uni-vector deformation in the Type IIA setup and show that the D0-brane background is mapped into itself (sedimentation), and other extremal backgrounds get bound with a dissolved D0-brโ€ฆ

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Machine Learning the order-disorder Jahn-Teller transition in LaMnO$_3$

Lorenzo Celiberti, Alexander Ehrentraut, Luca Leoni, Cesare Franchini ยท 2026

We investigate the Jahn-Teller structural phase transition in LaMnO$_3$ at $T_{JT} \simeq 750$ K using molecular dynamics simulations based on machine-learning force fields trained on ab initio data. โ€ฆ

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