Zobrazeno 1 - 10
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pro vyhledávání: '"Suo A"'
Vortex information of scalar pair production in circularly polarized field is investigated in the multiphoton regime. We find that vortex orientation is related to the intrinsic orbital angular momentum of created particles associating with the helic
Externí odkaz:
http://arxiv.org/abs/2411.11067
Autor:
Pei, Cuiying, Zhang, Mingxin, Peng, Di, Huangfu, Shangxiong, Zhu, Shihao, Wang, Qi, Wu, Juefei, Xing, Zhenfang, Zhang, Lili, Chen, Yulin, Zhao, Jinkui, Yang, Wenge, Suo, Hongli, Guo, Hanjie, Zeng, Qiaoshi, Qi, Yanpeng
The recent discovery of superconductivity in pressurized Ruddlesden-Popper (RP) of nickelates has potential similarities with cuprate superconductors, which may provide unique perspectives on the mechanisms of high-temperature superconductivity. Up t
Externí odkaz:
http://arxiv.org/abs/2411.08677
Autor:
Lei, Fangyu, Chen, Jixuan, Ye, Yuxiao, Cao, Ruisheng, Shin, Dongchan, Su, Hongjin, Suo, Zhaoqing, Gao, Hongcheng, Hu, Wenjing, Yin, Pengcheng, Zhong, Victor, Xiong, Caiming, Sun, Ruoxi, Liu, Qian, Wang, Sida, Yu, Tao
Real-world enterprise text-to-SQL workflows often involve complex cloud or local data across various database systems, multiple SQL queries in various dialects, and diverse operations from data transformation to analytics. We introduce Spider 2.0, an
Externí odkaz:
http://arxiv.org/abs/2411.07763
Controversy exists regarding whether grain morphology reduces or enhances the drag of a single grain in creeping flows; further complication occurs when orientation dependence for aspherical grains comes into play. To quantify influences of shape irr
Externí odkaz:
http://arxiv.org/abs/2411.08225
A very robust and efficient hybrid analytic-numerical Fock build, aMECP+aCOSx, has been developed for accelerating HF/DFT calculations. The essential idea is to extract those portions of the Fock matrix that can readily be evaluated analytically, so
Externí odkaz:
http://arxiv.org/abs/2411.01526
We consider the problem of length generalization in sequence prediction. We define a new metric of performance in this setting -- the Asymmetric-Regret -- which measures regret against a benchmark predictor with longer context length than available t
Externí odkaz:
http://arxiv.org/abs/2411.01035
Iterative methods are widely used for solving partial differential equations (PDEs). However, the difficulty in eliminating global low-frequency errors significantly limits their convergence speed. In recent years, neural networks have emerged as a n
Externí odkaz:
http://arxiv.org/abs/2410.05744
Autor:
Agarwal, Naman, Chen, Xinyi, Dogariu, Evan, Feinberg, Vlad, Suo, Daniel, Bartlett, Peter, Hazan, Elad
We address the challenge of efficient auto-regressive generation in sequence prediction models by introducing FutureFill - a method for fast generation that applies to any sequence prediction algorithm based on convolutional operators. Our approach r
Externí odkaz:
http://arxiv.org/abs/2410.03766
Designing roadside sensing for intelligent transportation applications requires balancing cost and performance,especially when choosing between high and low-resolution sensors. The tradeoff is challenging due to sensor heterogeneity,where different s
Externí odkaz:
http://arxiv.org/abs/2410.01250
Autor:
Miller, John Joshua, Mak, Simon, Sun, Benny, Narayanan, Sai Ranjeet, Yang, Suo, Sun, Zongxuan, Kim, Kenneth S., Kweon, Chol-Bum Mike
The optimization of expensive black-box simulators arises in a myriad of modern scientific and engineering applications. Bayesian optimization provides an appealing solution, by leveraging a fitted surrogate model to guide the selection of subsequent
Externí odkaz:
http://arxiv.org/abs/2410.01196