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Yang Liu (刘扬)
Yang Liu (刘扬)
Associate Professor, University of the Chinese Academy of Sciences
Bestätigte E-Mail-Adresse bei ucas.ac.cn
Titel
Zitiert von
Zitiert von
Jahr
Physics-informed learning of governing equations from scarce data
Z Chen, Y Liu, H Sun
Nature Communications 12, 6136, 2021
2532021
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling
R Zhang, Y Liu, H Sun
Engineering Structures 215, 110704, 2020
2512020
Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures
R Zhang, Y Liu, H Sun
Computer Methods in Applied Mechanics and Engineering 369, 113226, 2020
2432020
Physics-informed deep learning for incompressible laminar flows
C Rao, H Sun, Y Liu
Theoretical and Applied Mechanics Letters 10 (3), 207-212, 2020
2112020
Physics-Informed Deep Learning for Computational Elastodynamics without Labeled Data
C Rao, H Sun, Y Liu
Journal of Engineering Mechanics 147 (8), 04021043, 2021
2102021
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization
C Rao, Y Liu
Computational Materials Science 184, 109850, 2020
1922020
A nonlocal multiscale discrete‐continuum model for predicting mechanical behavior of granular materials
Y Liu, WC Sun, Z Yuan, J Fish
International Journal for Numerical Methods in Engineering 106 (2), 129-160, 2016
1092016
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
P Ren, C Rao, Y Liu, J Wang, H Sun
Computer Methods in Applied Mechanics and Engineering 389, 114399, 2022
1022022
Statistical regularization for identification of structural parameters and external loadings using state space models
H Sun, D Feng, Y Liu, MQ Feng
Computer‐Aided Civil and Infrastructure Engineering 30 (11), 843-858, 2015
902015
Transient dynamic behavior of polypropylene fiber reinforced mortar under compressive impact loading
H Zhang, Y Liu, H Sun, S Wu
Construction and Building Materials 111, 30-42, 2016
832016
Determining Material Parameters for Critical State Plasticity Models Based On Multilevel Extended Digital Database
Y Liu, WC Sun, J Fish
Journal of Applied Mechanics 83 (1), 011003, 2016
542016
Automated modeling of random inclusion composites
M Bailakanavar, Y Liu, J Fish, Y Zheng
Engineering with Computers 30 (4), 609-625, 2014
522014
A regularized phenomenological multiscale damage model
Y Liu, V Filonova, N Hu, Z Yuan, J Fish, Z Yuan, T Belytschko
International Journal for Numerical Methods in Engineering 99 (12), 867-887, 2014
522014
Mesoscale computational modeling of concrete-like particle-reinforced composites with non-convex aggregates
QX Meng, D Lv, Y Liu
Computers & Structures 240, 106349, 2020
322020
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
F Sun, Y Liu, JX Wang, H Sun
arXiv preprint arXiv:2205.13134, 2022
282022
Physics-informed Spline Learning for Nonlinear Dynamics Discovery
F Sun, Y Liu, H Sun
Proceedings of the 30th International Joint Conference on Artificial …, 2021
282021
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
C Rao, P Ren, Y Liu, H Sun
The Tenth International Conference on Learning Representations (ICLR), 1-19, 2022
202022
Physics-informed Deep Super-resolution for Spatiotemporal Data
P Ren, C Rao, Y Liu, Z Ma, Q Wang, JX Wang, H Sun
arXiv preprint arXiv:2208.01462, 2022
18*2022
Hard Encoding of Physics for Learning Spatiotemporal Dynamics
C Rao, H Sun, Y Liu
ICLR Workshop on Deep Learning for Simulation, 1-10. arXiv:2105.00557, 2021
162021
Autoregressive matrix factorization for imputation and forecasting of spatiotemporal structural monitoring time series
P Zhang, P Ren, Y Liu, H Sun
Mechanical Systems and Signal Processing 169, 108718, 2022
122022
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