[1] |
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.
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[2] |
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.
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[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.
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[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.
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[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.
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[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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[7] |
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.
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[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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[9] |
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.
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[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.
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[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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[12] |
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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[13] |
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.
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[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.
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[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.
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