[1] |
N. HUMNEKAR, D. SRINIVASACHARYA. Influence of variable viscosity and double diffusion on the convective stability of a nanofluid flow in an inclined porous channel[J]. Applied Mathematics and Mechanics (English Edition), 2024, 45(3): 563-580. |
[2] |
Haitao LI, Tianyu ZHENG, Weiyang QIN, Ruilan TIAN, Hu DING, J. C. JI, Liqun CHEN. Theoretical and experimental study of a bi-stable piezoelectric energy harvester under hybrid galloping and band-limited random excitations[J]. Applied Mathematics and Mechanics (English Edition), 2024, 45(3): 461-478. |
[3] |
Haiyang WU, Jiangfeng LOU, Biao ZHANG, Yuntong DAI, Kai LI. Stability analysis of a liquid crystal elastomer self-oscillator under a linear temperature field[J]. Applied Mathematics and Mechanics (English Edition), 2024, 45(2): 337-354. |
[4] |
Chen ZHAO, Zhenli CHEN, C. T. MUTASA, Dong LI. Effects of layer interactions on instantaneous stability of finite Stokes flows[J]. Applied Mathematics and Mechanics (English Edition), 2024, 45(1): 69-84. |
[5] |
J. WU, S. F. WANG, P. PERDIKARIS. A dive into spectral inference networks: improved algorithms for self-supervised learning of continuous spectral representations[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1199-1224. |
[6] |
J. N. FUHG, A. KARMARKAR, T. KADEETHUM, H. YOON, N. BOUKLAS. Deep convolutional Ritz method: parametric PDE surrogates without labeled data[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1151-1174. |
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Xuhui MENG. Variational inference in neural functional prior using normalizing flows: application to differential equation and operator learning problems[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1111-1124. |
[8] |
Yichuan HE, Zhicheng WANG, Hui XIANG, Xiaomo JIANG, Dawei TANG. An artificial viscosity augmented physics-informed neural network for incompressible flow[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1101-1110. |
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M. KIM, G. LIN. Peri-Net-Pro: the neural processes with quantified uncertainty for crack patterns[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1085-1100. |
[10] |
Zhiping MAO, Xuhui MENG. Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutions[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1069-1084. |
[11] |
W. WU, M. DANEKER, M. A. JOLLEY, K. T. TURNER, L. LU. Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material properties in solid mechanics[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(7): 1039-1068. |
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M. HAMID, M. USMAN, Zhenfu TIAN. Computational analysis for fractional characterization of coupled convection-diffusion equations arising in MHD flows[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(4): 669-692. |
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A. V. ROŞCA, N. C. ROŞCA, I. POP. Three-dimensional mixed convection stagnation-point flow past a vertical surface with second-order slip velocity[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(4): 641-652. |
[14] |
Peng WANG, Shaopu YANG, Yongqiang LIU, Pengfei LIU, Xing ZHANG, Yiwei ZHAO. Research on hunting stability and bifurcation characteristics of nonlinear stochastic wheelset system[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(3): 431-446. |
[15] |
Yueping WANG, Lizhong MU, Ying HE. Thermogram-based estimation of foot arterial blood flow using neural networks[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(2): 325-344. |