Zobrazeno 1 - 10
of 2 756
pro vyhledávání: '"An Shiheng"'
Autor:
Ullrich, Paul A., Barnes, Elizabeth A., Collins, William D., Dagon, Katherine, Duan, Shiheng, Elms, Joshua, Lee, Jiwoo, Leung, L. Ruby, Lu, Dan, Molina, Maria J., O'Brien, Travis A.
Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for weather forecasting, producing forecasts that rival modern physics-based
Externí odkaz:
http://arxiv.org/abs/2410.19882
Precise control of the polarization and propagation direction of elastic waves is a fundamental challenge in elastodynamics. Achieving efficient mode conversion along arbitrary paths with conventional techniques has proven difficult. In this letter,
Externí odkaz:
http://arxiv.org/abs/2410.17627
It is crucial for auditory attention decoding to classify matched and mismatched speech stimuli with corresponding EEG responses by exploring their relationship. However, existing methods often adopt two independent networks to encode speech stimulus
Externí odkaz:
http://arxiv.org/abs/2410.15078
AI-based weather and climate models are emerging as accurate and computationally efficient tools. Beyond weather forecasting, they also show promise to accelerate storyline analyses. We rigorously evaluate NeuralGCM's ability to reproduce an extreme
Externí odkaz:
http://arxiv.org/abs/2410.09120
We introduce novel entropy-dissipative numerical schemes for a class of kinetic equations, leveraging the recently introduced scalar auxiliary variable (SAV) approach. Both first and second order schemes are constructed. Since the positivity of the s
Externí odkaz:
http://arxiv.org/abs/2408.16105
Autor:
Zhao, Shiheng, Haas, Pierre A.
Indentation tests are classical tools to determine material properties. For biological samples such as cysts of cells, however, the observed force-displacement relation cannot be expected to follow predictions for simple materials. Here, by solving t
Externí odkaz:
http://arxiv.org/abs/2408.03716
Autor:
Wu, Xuntao, Yan, Haoxiong, Andersson, Gustav, Anferov, Alexander, Chou, Ming-Han, Conner, Christopher R., Grebel, Joel, Joshi, Yash J., Li, Shiheng, Miller, Jacob M., Povey, Rhys G., Qiao, Hong, Cleland, Andrew N.
Superconducting qubits provide a promising approach to large-scale fault-tolerant quantum computing. However, qubit connectivity on a planar surface is typically restricted to only a few neighboring qubits. Achieving longer-range and more flexible co
Externí odkaz:
http://arxiv.org/abs/2407.20134
Autor:
Zhang, Shiheng, Shen, Jie
We introduce in this paper two time discretization schemes tailored for a range of Wasserstein gradient flows. These schemes are designed to preserve mass, positivity and to be uniquely solvable. In addition, they also ensure energy dissipation in ma
Externí odkaz:
http://arxiv.org/abs/2407.09416
Autor:
Wang, Cen, Zeng, Guang, Wen, Xinyu, He, Yuhui, Luo, Wei, Chen, Shiwei, Liang, Shiheng, Zhang, Yue
Stochasticity plays a significant role in the low-power operation of a biological neural network. In an artificial neural network (ANN), stochasticity also contributes to critical functions such as the uncertainty quantification (UQ) for estimating t
Externí odkaz:
http://arxiv.org/abs/2310.10317
Autor:
Yunqi Shan, Chaomin Zhang, Yanmin Zhang, Jiang Feng, Shiheng Zhao, Baohuan Huang, Kexing Song, Yanjun Zhou
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 3205-3220 (2024)
Under the condition of controlling the total rolling deformation to 80.0%, the effects of multi-pass rolling, the ratio of deformation between the first and second stages in two-stage rolling, and aging parameters on the microstructural evolution and
Externí odkaz:
https://doaj.org/article/9e48906b3983466394b400c5d81b3c1e
