Yang Wang
Guangxi Normal University
7 Papers
Yang Wang is an academic researcher from Guangxi Normal University. The author has contributed to research in topics: Computer science & Stability (learning theory). The author has an hindex of 1, co-authored 1 publications.
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Papers
Improvement of cadmium phytoremediation by Centella asiatica L. after soil inoculation with cadmium-resistant Enterobacter sp. FM-1
TL;DR: It is concluded that inoculation with Enterobacter sp.
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In situ melting phenomena on W plasma-facing components for lower divertor during long-pulse plasma operations in EAST
Dahuan Zhu,Zongxiao Guo,Chuannan Xuan,Baixue Yu,Changjun Li,Binfu Gao,Rui Ding,Rong Yan,Yang Wang,Chunxu He,Damao Yao,Lei Cao,P. F. Zi,Le Han,Baoguo Wang,Wenxue Fu,Yi Li,Junling Chen +17 more
TL;DR: In this article , the impact of different shape structures of flat-type PFCs on the lower divertor of the EAST tokamak has been investigated, showing that the application of a large-sized bevel chamfer inter-CM was generally effective.
16
Analysis of A New Adaptive Time Filter Algorithm for The Unsteady Stokes/Darcy Model
Yidong Qin,Yang Wang,Yi Ming Li,Jian Qi Li +3 more
- 29 Apr 2022
TL;DR: A new adaptive time-stepping algorithm for the unsteady Stokes/Darcy model with coupled and decoupled adaptive algorithms is proposed and two numerical experiments are used to verify theoretical results including e-ectiveness, convergence and e-ciency with adaptive method.
Analysis of A New Variable Time-stepping Time Filter Algorithm for The Unsteady Stokes/Darcy Model
TL;DR: A first order θ-scheme with the variable time steps is presented which is one parameter family of Linear Multi-step methods for the unsteady Stokes/Darcy model and a time filter algorithm is used to increase the convergence order to the second order with almost no increasing the amount of computation.
An Adaptive Time-stepping DLN Decoupled Algorithm for The Coupled Stokes-Darcy Model
TL;DR: In this paper , the variable time-stepping decoupled algorithm proposed by Dahlquist, Liniger, and Nevanlinna (DLN algorithm) is used to discretize the coupled Stokes-Darcy model in time.