Zobrazeno 1 - 10
of 2 232
pro vyhledávání: '"P. Göring"'
Autor:
Hayashida, S., Gretarsson, H., Puphal, P., Isobe, M., Goering, E., Matsumoto, Y., Nuss, J., Takagi, H., Hepting, M., Keimer, B.
We investigate the magnetic ground state of single crystals of the ruthenium-dimer-based hexagonal perovskite Ba$_{3}$ZnRu$_{2}$O$_{9}$ using magnetic susceptibility and resonant inelastic x-ray scattering (RIXS) measurements. While a previous study
Externí odkaz:
http://arxiv.org/abs/2411.15383
Let $s \in [0,1]$. We show that a Borel set $N \subset \mathbb{R}^{2}$ whose every point is linearly accessible by an $s$-dimensional family of lines has Hausdorff dimension at most $2 - s$.
Comment: 43 pages, 1 figure
Comment: 43 pages, 1 figure
Externí odkaz:
http://arxiv.org/abs/2407.00306
Autor:
Conde, Marcos V., Zadtootaghaj, Saman, Barman, Nabajeet, Timofte, Radu, He, Chenlong, Zheng, Qi, Zhu, Ruoxi, Tu, Zhengzhong, Wang, Haiqiang, Chen, Xiangguang, Meng, Wenhui, Pan, Xiang, Shi, Huiying, Zhu, Han, Xu, Xiaozhong, Sun, Lei, Chen, Zhenzhong, Liu, Shan, Zhang, Zicheng, Wu, Haoning, Zhou, Yingjie, Li, Chunyi, Liu, Xiaohong, Lin, Weisi, Zhai, Guangtao, Sun, Wei, Cao, Yuqin, Jiang, Yanwei, Jia, Jun, Zhang, Zhichao, Chen, Zijian, Zhang, Weixia, Min, Xiongkuo, Göring, Steve, Qi, Zihao, Feng, Chen
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based methods capable of estimating the perceptual quality of UGC videos. The user
Externí odkaz:
http://arxiv.org/abs/2404.16205
In science we are interested in finding the governing equations, the dynamical rules, underlying empirical phenomena. While traditionally scientific models are derived through cycles of human insight and experimentation, recently deep learning (DL) t
Externí odkaz:
http://arxiv.org/abs/2402.18377
Characterizing rectifiability of Radon measures in Euclidean space has led to fundamental contributions to geometric measure theory. Conditions involving existence of principal values of certain singular integrals \cite{mattila1995rectifiable} and th
Externí odkaz:
http://arxiv.org/abs/2311.00589
Recurrent neural networks (RNNs) are popular machine learning tools for modeling and forecasting sequential data and for inferring dynamical systems (DS) from observed time series. Concepts from DS theory (DST) have variously been used to further our
Externí odkaz:
http://arxiv.org/abs/2310.17561
Autor:
Goering, Max, Skorobogatova, Anna
The interior regularity of area-minimizing integral currents and semi-calibrated currents has been studied extensively in recent decades, with sharp dimension estimates established on their interior singular sets in any dimension and codimension. In
Externí odkaz:
http://arxiv.org/abs/2309.09634
The recent claim of superconductivity above room temperature in Pb$_{10-x}$Cu$_x$(PO$_4$)$_6$O with 0.9 < $x$ < 1 (referred to as LK-99) has sparked considerable interest. To minimize the influence of structural defects and impurity phases on the phy
Externí odkaz:
http://arxiv.org/abs/2308.06256
Here, we report a novel and conceptually straightforward technique to detect the spin-polarization directly, with laser spot spatial resolution, at buried ferromagnet/insulator interfaces in ambient settings. This has been accomplished by monitoring
Externí odkaz:
http://arxiv.org/abs/2308.06099
Autor:
Qiang Chen, Luis Aguirre, Guoming Liang, Huanhuan Zhao, Tao Dong, Felix Borrego, Itziar de Rojas, Qichan Hu, Christopher Reyes, Ling-Yan Su, Bao Zhang, James D. Lechleiter, Harald H. H. Göring, Philip L. De Jager, Joel E. Kleinman, Thomas M. Hyde, Pan P. Li, Agustín Ruiz, Daniel R. Weinberger, Sudha Seshadri, Liang Ma
Publikováno v:
Molecular Neurodegeneration, Vol 19, Iss 1, Pp 1-18 (2024)
Abstract Background The APOE gene is the strongest genetic risk factor for late-onset Alzheimer’s Disease (LOAD). However, the gene regulatory mechanisms at this locus remain incompletely characterized. Methods To identify novel AD-linked functiona
Externí odkaz:
https://doaj.org/article/5374844758ed40dc95d178d7f3ae89ee
