Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Fu Yucheng"'
Autor:
Fu, Yucheng, Wang, Tianhao
Differential privacy (DP) is widely employed to provide privacy protection for individuals by limiting information leakage from the aggregated data. Two well-known models of DP are the central model and the local model. The former requires a trustwor
Externí odkaz:
http://arxiv.org/abs/2409.10667
Aqueous organic redox flow batteries (AORFBs) have gained popularity in renewable energy storage due to their low cost, environmental friendliness and scalability. The rapid discovery of aqueous soluble organic (ASO) redox-active materials necessitat
Externí odkaz:
http://arxiv.org/abs/2312.08481
Publikováno v:
Chemical Engineering Science, Vol. 221 115693 2020
Liquid holdup and mass transfer area are critical parameters for packed column design and CO2 capture efficiency prediction. In this paper, a framework was established for modeling the liquid-gas countercurrent flow hydrodynamics in a random packed c
Externí odkaz:
http://arxiv.org/abs/2310.19808
In this paper, we present a physics-informed neural network (PINN) approach for predicting the performance of an all-vanadium redox flow battery, with its physics constraints enforced by a two-dimensional (2D) mathematical model. The 2D model, which
Externí odkaz:
http://arxiv.org/abs/2306.01010
We introduce a novel continual learning method based on multifidelity deep neural networks. This method learns the correlation between the output of previously trained models and the desired output of the model on the current training dataset, limiti
Externí odkaz:
http://arxiv.org/abs/2304.03894
Autor:
Bartoldson, Brian R., Hu, Yeping, Saini, Amar, Cadena, Jose, Fu, Yucheng, Bao, Jie, Xu, Zhijie, Ng, Brenda, Nguyen, Phan
Data-driven modeling approaches can produce fast surrogates to study large-scale physics problems. Among them, graph neural networks (GNNs) that operate on mesh-based data are desirable because they possess inductive biases that promote physical fait
Externí odkaz:
http://arxiv.org/abs/2304.00338
Autor:
Lu, Xinmiao1,2 (AUTHOR), Fu, Yucheng3 (AUTHOR), Zhu, Yunyun2 (AUTHOR), Xi, Chuang2 (AUTHOR), Luo, Quanyong2 (AUTHOR) luoqy@sjtu.edu.cn, Pang, Hua1 (AUTHOR) ph1973@126.com
Publikováno v:
Journal of Nanobiotechnology. 10/10/2024, Vol. 22 Issue 1, p1-16. 16p.
Publikováno v:
Chem. Eng. J. 398 (2020) 125548
Computational countercurrent flow investigation in the structured packed column is a multiscale problem. Multiphase flow studies using volume of fluid (VOF) method in the representative elementary unit (REU) of the packed column can insight into the
Externí odkaz:
http://arxiv.org/abs/2310.02266
Publikováno v:
In Journal of Nuclear Materials January 2025 603
Autor:
Frazier, William E., Li, Lei, Choi, Kyoo Sil, Fu, Yucheng, Xu, Zhijie, Soulami, Ayoub, Joshi, Vineet V.
Publikováno v:
In Journal of Nuclear Materials January 2025 603