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Hung-Chu Hsu, Yang-Yih Chen, Yi-Ru Chen and Meng-Syue Li
In order to understand the extreme wave acting on the vertical breakwater, a series of experiments were constructed in the wave tank to measure the variations of pressure on the front, rear faces, and below the caisson due to overtopping waves. The front...
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Lili Liang, Yufeng Hu, Zhiwu Liu, Yuntao Ye, Kuang Li, Kexin Liu, Haiqing Xu and Xiquan Liu
The lumped hydrological model and empirical model have the problems of low accuracy and short forecasting period in real-time flood forecasting of small- and medium-sized rivers in a mountainous watershed. The sharing of underlying surface data such as h...
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Menglin Li, Xueqiang Gu, Chengyi Zeng and Yuan Feng
Reinforcement learning, as a branch of machine learning, has been gradually applied in the control field. However, in the practical application of the algorithm, the hyperparametric approach to network settings for deep reinforcement learning still follo...
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Chutipong Dechanubeksa and Saifon Chaturantabut
This work considers model reduction techniques that can substantially decrease computational cost in simulating parmetrized Allen?Cahn equation. We first employ the proper orthogonal decomposition (POD) approach to reduce the number of unknowns in the fu...
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Maria G. Khrenova,Dmitry P. Kapusta,Ilya V. Babchuk,Yulia I. Meteleshko
Pág. 70 - 73
The progress of supercomputer technologies initiated the development of methods of computational chemistry and their applications, particularly molecular dynamic simulations with ab initio potentials. These new methods allow to solve important problems o...
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