Zobrazeno 1 - 10
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pro vyhledávání: '"Song, Jin"'
In this paper, we propose a radar odometry structure that directly utilizes radar velocity measurements for dead reckoning while maintaining its ability to update estimations within the Kalman filter framework. Specifically, we employ the Doppler vel
Externí odkaz:
http://arxiv.org/abs/2403.05136
Autor:
O, Song-Jin
Publikováno v:
Phys. Rev. B 109, 205118 (2024)
We propose a novel scheme for combining efficiently the truncated-unity functional renormalization group (TUFRG) and the mean-field theory. It follows a method of Wang, Eberlein and Metzner that uses only the two-particle irreducible part of the vert
Externí odkaz:
http://arxiv.org/abs/2312.06183
Autor:
Song, Jin, Yan, Zhenya
Publikováno v:
Physica D 448 (2023) 133729
In this paper, we firstly extend the physics-informed neural networks (PINNs) to learn data-driven stationary and non-stationary solitons of 1D and 2D saturable nonlinear Schr\"odinger equations (SNLSEs) with two fundamental PT-symmetric Scarf-II and
Externí odkaz:
http://arxiv.org/abs/2310.02276
In this paper, we study data-driven localized wave solutions and parameter discovery in the massive Thirring (MT) model via the deep learning in the framework of physics-informed neural networks (PINNs) algorithm. Abundant data-driven solutions inclu
Externí odkaz:
http://arxiv.org/abs/2309.17240
We address symmetry breaking bifurcations (SBBs) in the ground-state (GS) and dipole-mode (DM) solitons of the 1D linearly coupled NLS equations, modeling the propagation of light in a dual-core planar waveguide with the Kerr nonlinearity and two typ
Externí odkaz:
http://arxiv.org/abs/2309.16904
Autor:
Putrov, Pavel, Ri, Song Jin
We test the efficiency of applying Geometric Deep Learning to the problems in low-dimensional topology in a certain simple setting. Specifically, we consider the class of 3-manifolds described by plumbing graphs and use Graph Neural Networks (GNN) fo
Externí odkaz:
http://arxiv.org/abs/2305.05966
Autor:
Wenbin Fan, Qing-Ying Luo, Xun Lu, Qing Xie, Qunzeng Danzeng, Yiqian Zhang, Song Jin, Wen-Xiang Cheng, Cui Liu
Publikováno v:
ACS Omega, Vol 9, Iss 26, Pp 28666-28675 (2024)
Externí odkaz:
https://doaj.org/article/c1a776037f444bd1a1e91b815e03ccd3
Publikováno v:
Chaos 33, 033141 (2023)
In this paper, vortex solitons are produced for a variety of 2D spinning quantum droplets (QDs) in a PT-symmetric potential, modeled by the amended Gross-Pitaevskii equation with Lee-Huang-Yang corrections. In particular, exact QD states are obtained
Externí odkaz:
http://arxiv.org/abs/2303.05210
Autor:
He, Xin, Zhang, Changling, Li, Zhiwen, Zhang, Sijia, Feng, Shaomin, Zhao, Jianfa, Lu, Ke, Min, Baosen, Peng, Yi, Wang, Xiancheng, Song, Jin, Wang, Luhong, Kawaguchi, Saori I., Ji, Cheng, Li, Bing, Liu, Haozhe, Tse, J. S., Jin, Changqing
Publikováno v:
Chinese Physics Letters 40, 107403 (2023) (Express Letter)
Superconductivity is one of most intriguing quantum phenomena, and the quest for elemental superconductors with high critical temperature (Tc) is of great scientific significance due to their relatively simple material composition and the underlying
Externí odkaz:
http://arxiv.org/abs/2303.01062
Autor:
Padi, Sathish K.R., Luevano, Libia A., An, Ningfei, Pandey, Ritu, Singh, Neha, Song, Jin H., Aster, Jon C., Yu, Xue-Zhong, Mehrotra, Shikhar, Kraft, Andrew S.
New approaches are needed for the treatment of patients with T-cell acute lymphoblastic leukemia (T-ALL) who fail to achieve remission with chemotherapy. Analysis of the effects of pan-PIM protein kinase inhibitors on human T-ALL cell lines demonstra
Externí odkaz:
http://hdl.handle.net/10150/624055
http://arizona.openrepository.com/arizona/handle/10150/624055
http://arizona.openrepository.com/arizona/handle/10150/624055