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Thermal radiation and chemically reactive aspects of mixed convection flow using water base nanofluids: Tiwari and Das model 期刊论文
WAVES IN RANDOM AND COMPLEX MEDIA, 2021, 页码: 31
作者:  Elkotb, Mohamed Abdelghany;  Hamid, Aamir;  Khan, M. Riaz;  Khan, Muhammad Naveed;  Galal, Ahmed M.
收藏  |  浏览/下载：115/0  |  提交时间：2022/04/02
Local non-similar solution  Tiwari and Das model  mixed convection flow  thermal radiation  chemical reaction effects  
Parallel exponential time differencing methods for geophysical flow simulations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 387, 页码: 24
作者:  Lan, Rihui;  Leng, Wei;  Wang, Zhu;  Ju, Lili;  Gunzburger, Max
收藏  |  浏览/下载：108/0  |  提交时间：2022/04/02
Shallow water equations  Primitive equations  Exponential time differencing  Parallel computing  Barotropic/baroclinic splitting  
Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning 期刊论文
PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15
作者:  Wang, Li;  Yan, Zhenya
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
Nonlinear dispersive equation  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven peakon and periodic peakon  solutions Data-driven parameter discovery  
Impact of Joule heating and viscous dissipation on magnetohydrodynamics boundary layer flow of viscous nanofluid subject to the stretched surface 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2021, 页码: 8
作者:  Khan, M. Riaz;  Abidi, Awatef;  Madiouli, Jamel;  Guedri, Kamel;  Al-Bugami, A. M.;  Al-arabi, T. H.;  Al-Zhour, Zeyad;  Galal, Ahmed M.
收藏  |  浏览/下载：133/0  |  提交时间：2022/04/02
Nanofluid  viscous dissipation  suction  Joule heating  magnetic field  convective condition  
Layer-Splitting Methods for Time-Dependent Schrodinger Equations of Incommensurate Systems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 卷号: 30, 期号: 5, 页码: 1474-1498
作者:  Wang, Ting;  Chen, Huajie;  Zhou, Aihui;  Zhou, Yuzhi
收藏  |  浏览/下载：113/0  |  提交时间：2022/04/02
Incommensurate system  time-dependent Schrodinger equation  time stepping scheme  
Convergence of the uniaxial PML method for time-domain electromagnetic scattering problems 期刊论文
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2021, 卷号: 55, 期号: 5, 页码: 2421-2443
作者:  Wei, Changkun;  Yang, Jiaqing;  Zhang, Bo
收藏  |  浏览/下载：119/0  |  提交时间：2022/04/02
Well-posedness  stability  time-domain electromagnetic scattering  uniaxial PML  exponential convergence  
H2-Korn's Inequality and the Nonconforming Elements for The Strain Gradient Elastic Model 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2021, 卷号: 88, 期号: 3, 页码: 23
作者:  Li, Hongliang;  Ming, Pingbing;  Wang, Huiyu
收藏  |  浏览/下载：106/0  |  提交时间：2022/04/02
Strain gradient elasticity  H2-Korn's  Robust finite elements  
Hybrid Regularized Cone-Beam Reconstruction for Axially Symmetric Object Tomography 期刊论文
ACTA MATHEMATICA SCIENTIA, 2021, 页码: 17
作者:  Li, Xinge;  Wei, Suhua;  Xu, Haibo;  Chen, Chong
收藏  |  浏览/下载：104/0  |  提交时间：2022/04/02
high-energy X-ray radiography  cone-beam global reconstruction  inverse problem  total variation  alternating proximal gradient method  
A computational model for hybrid nanofluid flow on a rotating surface in the existence of convective condition 期刊论文
CASE STUDIES IN THERMAL ENGINEERING, 2021, 卷号: 26, 页码: 12
作者:  Hussain, Azad;  Alshbool, Mohammed Hamed;  Abdussattar, Aishah;  Rehman, Aysha;  Ahmad, Hijaz;  Nofal, Taher A.;  Khan, M. Riaz
收藏  |  浏览/下载：115/0  |  提交时间：2021/10/26
Exponentially rotating surface  Convective boundary condition  Mixture base fluid  Dual-phase nanoparticle  Bvp4c method  
Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning 期刊论文
PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7
作者:  Wang, Li;  Yan, Zhenya
收藏  |  浏览/下载：123/0  |  提交时间：2021/10/26
Defocusing NLS equation with the  time-dependent potential  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven rogue waves and parameter discovery