Zobrazeno 1 - 10
of 32 644
pro vyhledávání: '"Yang, Hui"'
Publikováno v:
Comptes Rendus. Mathématique, Vol 360, Iss G11, Pp 1205-1212 (2022)
In this note, we establish the strong openness and stability property of multiplier submodule sheaves associated to singular Nakano semi-positive metrics on holomorphic vector bundles, which generalizes the same properties for multiplier ideal sheave
Externí odkaz:
https://doaj.org/article/171c93acaf354bcabf336b7ed9bb33c2
Autor:
Sun, Fei, Ren, Jianhua, Li, Hongfang, Wu, Yiwei, Liang, Jianwei, Yang, Hui, Zhang, Yi, Liu, Jianyi, Liu, Linjie, Wu, Mengjun, Zhang, Xiaoyue, Zhu, Wenpeng, Chen, Weijin, Zheng, Yue
Topological textures like vortices, labyrinths and skyrmions formed in ferroic materials have attracted extensive interests during the past decade for their fundamental physics, intriguing topology, and technological prospects. So far, polar skyrmion
Externí odkaz:
http://arxiv.org/abs/2409.14843
Autor:
Yang, Hui-Yue, Chen, Hui, Liu, Lihao, Lin, Zijia, Chen, Kai, Wang, Liejun, Han, Jungong, Ding, Guiguang
Unsupervised anomaly detection (AD) aims to train robust detection models using only normal samples, while can generalize well to unseen anomalies. Recent research focuses on a unified unsupervised AD setting in which only one model is trained for al
Externí odkaz:
http://arxiv.org/abs/2409.06285
While the earliest applications of AI methodologies to pure mathematics and theoretical physics began with the study of Hodge numbers of Calabi-Yau manifolds, the topology type of such manifold also crucially depend on their intersection theory. Cont
Externí odkaz:
http://arxiv.org/abs/2408.05076
In this work, we propose and study a double Kondo lattice model which hosts robust superconductivity. The system consists of two identical Kondo lattice model, each with Kondo coupling $J_K$ within each layer, while the localized spin moments are cou
Externí odkaz:
http://arxiv.org/abs/2408.01493
Graph neural networks (GNNs) have achieved significant success in various applications. Most GNNs learn the node features with information aggregation of its neighbors and feature transformation in each layer. However, the node features become indist
Externí odkaz:
http://arxiv.org/abs/2407.19231
We carry out a comprehensive investigation on the radiative decays of $P$-wave bottom baryons using the light-cone sum rule method. We analyze their electromagnetic transitions into ground-state bottom baryons together with a photon. Together with th
Externí odkaz:
http://arxiv.org/abs/2407.04433
We apply reinforcement learning (RL) to generate fine regular star triangulations of reflexive polytopes, that give rise to smooth Calabi-Yau (CY) hypersurfaces. We demonstrate that, by simple modifications to the data encoding and reward function, o
Externí odkaz:
http://arxiv.org/abs/2405.21017
Autor:
He, Yang-Hui
Publikováno v:
nature reviews physics Aug 5, 2024
Recent years have seen the dramatic rise of the usage of AI algorithms in pure mathematics and fundamental sciences such as theoretical physics. This is perhaps counter-intuitive since mathematical sciences require the rigorous definitions, derivatio
Externí odkaz:
http://arxiv.org/abs/2405.19973
Real 3-manifold triangulations can be uniquely represented by isomorphism signatures. Databases of these isomorphism signatures are generated for a variety of 3-manifolds and knot complements, using SnapPy and Regina, then these language-like inputs
Externí odkaz:
http://arxiv.org/abs/2405.09610