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Xinlong Feng

Showing results (11-20 of 20) with videos related to

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Entropy (Basel, Switzerland)|August 26, 2022
Linear Full Decoupling, Velocity Correction Method for Unsteady Thermally Coupled Incompressible Magneto-Hydrodynamic EquationsZhe Zhang, Haiyan Su, Xinlong Feng
Entropy (Basel, Switzerland)|November 11, 2022
A Second-Order Crank-Nicolson Leap-Frog Scheme for the Modified Phase Field Crystal Model with Long-Range InteractionChunya Wu, Xinlong Feng, Lingzhi Qian
Entropy (Basel, Switzerland)|May 16, 2023
Improved Physics-Informed Neural Networks Combined with Small Sample Learning to Solve Two-Dimensional Stefan ProblemJiawei Li, Wei Wu, Xinlong Feng
Entropy (Basel, Switzerland)|May 28, 2022
Optimal Convergence Analysis of Two-Level Nonconforming Finite Element Iterative Methods for 2D/3D MHD EquationsHaiyan Su, Jiali Xu, Xinlong Feng
Entropy (Basel, Switzerland)|December 23, 2023
Modified Characteristic Finite Element Method with Second-Order Spatial Accuracy for Solving Convection-Dominated Problem on SurfacesLongyuan Wu, Xinlong Feng, Yinnian He
Entropy (Basel, Switzerland)|June 28, 2023
Entropy Stable DGSEM Schemes of Gauss Points Based on Subcell LimitingYang Liu, Huajun Zhu, Zhen-Guo Yan, et al.
Entropy (Basel, Switzerland)|May 27, 2023
Energy Stability Property of the CPR Method Based on Subcell Second-Order CNNW Limiting in Solving Conservation LawsRan Liu, Zhen-Guo Yan, Huajun Zhu, et al.
Journal of Environmental Management|November 30, 2023
Thriving arid oasis urban agglomerations: Optimizing ecosystem services pattern under future climate change scenarios using dynamic Bayesian networkHao Huang, Jie Xue, Xinlong Feng, et al.
Scientific Reports|July 31, 2024
Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian networkYantao Ma, Jie Xue, Xinlong Feng, et al.
The Science of the Total Environment|January 27, 2024
Automatedly identify dryland threatened species at large scale by using deep learningHaolin Wang, Qi Liu, Dongwei Gui, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Entropy (Basel, Switzerland)|August 26, 2022
Linear Full Decoupling, Velocity Correction Method for Unsteady Thermally Coupled Incompressible Magneto-Hydrodynamic EquationsZhe Zhang, Haiyan Su, Xinlong Feng
Entropy (Basel, Switzerland)|November 11, 2022
A Second-Order Crank-Nicolson Leap-Frog Scheme for the Modified Phase Field Crystal Model with Long-Range InteractionChunya Wu, Xinlong Feng, Lingzhi Qian
Entropy (Basel, Switzerland)|May 16, 2023
Improved Physics-Informed Neural Networks Combined with Small Sample Learning to Solve Two-Dimensional Stefan ProblemJiawei Li, Wei Wu, Xinlong Feng
Entropy (Basel, Switzerland)|May 28, 2022
Optimal Convergence Analysis of Two-Level Nonconforming Finite Element Iterative Methods for 2D/3D MHD EquationsHaiyan Su, Jiali Xu, Xinlong Feng
Entropy (Basel, Switzerland)|December 23, 2023
Modified Characteristic Finite Element Method with Second-Order Spatial Accuracy for Solving Convection-Dominated Problem on SurfacesLongyuan Wu, Xinlong Feng, Yinnian He
Entropy (Basel, Switzerland)|June 28, 2023
Entropy Stable DGSEM Schemes of Gauss Points Based on Subcell LimitingYang Liu, Huajun Zhu, Zhen-Guo Yan, et al.
Entropy (Basel, Switzerland)|May 27, 2023
Energy Stability Property of the CPR Method Based on Subcell Second-Order CNNW Limiting in Solving Conservation LawsRan Liu, Zhen-Guo Yan, Huajun Zhu, et al.
Journal of Environmental Management|November 30, 2023
Thriving arid oasis urban agglomerations: Optimizing ecosystem services pattern under future climate change scenarios using dynamic Bayesian networkHao Huang, Jie Xue, Xinlong Feng, et al.
Scientific Reports|July 31, 2024
Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian networkYantao Ma, Jie Xue, Xinlong Feng, et al.
The Science of the Total Environment|January 27, 2024
Automatedly identify dryland threatened species at large scale by using deep learningHaolin Wang, Qi Liu, Dongwei Gui, et al.
Pageof 2