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ORCIDWing Kam Liu
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2020 – today
- 2024
[i12]Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder
, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu:
Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. CoRR abs/2404.10296 (2024)- [i11]Wei Liu, Satyajit Mojumder, Wing Kam Liu, Wei Chen, Daniel W. Apley:
Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores. CoRR abs/2404.15207 (2024) - [i10]Lei Zhang, Chanwook Park, T. J. R. Hughes, Wing Kam Liu:
Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network. CoRR abs/2406.03307 (2024) - [i9]Jiachen Guo, Chanwook Park, Xiaoyu Xie, Zhongsheng Sang, Gregory J. Wagner, Wing Kam Liu:
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. CoRR abs/2409.00329 (2024) - 2023
- [j13]Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao:
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. Comput. Phys. Commun. 291: 108802 (2023) - [c1]Vishu Gupta, Yuhui Lyu, Derick Suarez, Yuwei Mao, Wei-Keng Liao, Alok N. Choudhary, Wing Kam Liu, Gianluca Cusatis, Ankit Agrawal:
Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. IC3 2023: 188-197 - [i8]Ye Lu, Satyajit Mojumder, Jiachen Guo, Yangfan Li, Wing Kam Liu:
Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty. CoRR abs/2307.15873 (2023) - [i7]Yangfan Li, Satyajit Mojumder, Ye Lu, Abdullah Al Amin, Jiachen Guo, Xiaoyu Xie, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu:
Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process. CoRR abs/2311.07821 (2023) - 2022
- [j12]Mahsa Tajdari, Farzam Tajdari, Pouyan Shirzadian, Aishwarya Pawar, Mirwais Wardak, Sourav Saha, Chanwook Park, Toon Huysmans, Yu Song, Yongjie Jessica Zhang, John F. Sarwark, Wing Kam Liu:
Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks. Eng. Comput. 38(5): 4061-4084 (2022) - [i6]Yangfan Li, Ye Lu, Abdullah Al Amin, Wing Kam Liu:
Stochastic additive manufacturing simulation: from experiment to surface roughness and porosity prediction. CoRR abs/2208.02907 (2022) - [i5]Sourav Saha, Chanwook Park, Stefan Knapik, Jiachen Guo, Owen Huang, Wing Kam Liu:
Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research. CoRR abs/2211.16610 (2022) - [i4]Owen Huang, Sourav Saha, Jiachen Guo, Wing Kam Liu:
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis. CoRR abs/2212.00802 (2022) - [i3]Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao:
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. CoRR abs/2212.00964 (2022) - 2021
- [i2]Lei Zhang, Ye Lu, Shaoqiang Tang, Wing Kam Liu:
HiDeNN-PGD: reduced-order hierarchical deep learning neural networks. CoRR abs/2105.06363 (2021) - [i1]Wing Kam Liu, Shaofan Li, Harold Park:
Eighty Years of the Finite Element Method: Birth, Evolution, and Future. CoRR abs/2107.04960 (2021)
2010 – 2019
- 2013
- [j11]Yu Liu, M. Steven Greene, Wei Chen, Dmitriy A. Dikin, Wing Kam Liu:
Computational microstructure characterization and reconstruction for stochastic multiscale material design. Comput. Aided Des. 45(1): 65-76 (2013) - [j10]Jin Qian, Yongjie Zhang, Devin Thomas O'Connor, M. Steven Greene, Wing Kam Liu:
Intersection-free tetrahedral meshing from volumetric images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 1(2): 100-110 (2013) - 2012
- [j9]Devon A. Brown, Jong-Hoon Kim, Hyun-Boo Lee, Gareth Fotouhi, Kyong-Hoon Lee, Wing Kam Liu, Jae-Hyun Chung:
Electric Field Guided Assembly of One-Dimensional Nanostructures for High Performance Sensors. Sensors 12(5): 5725-5751 (2012)
2000 – 2009
- 2009
- [j8]X. Sheldon Wang, Lucy T. Zhang, Wing Kam Liu:
On computational issues of immersed finite element methods. J. Comput. Phys. 228(7): 2535-2551 (2009) - [j7]X. Sheldon Wang, Lucy T. Zhang, Wing Kam Liu:
Erratum to "On computational issues of immersed finite element methods" [J. Comput. Phys 228 (2009) 2535-2551]. J. Comput. Phys. 228(18): 7125 (2009) - 2007
- [j6]Do Wan Kim, Young-Cheol Yoon, Wing Kam Liu, Ted Belytschko:
Extrinsic meshfree approximation using asymptotic expansion for interfacial discontinuity of derivative. J. Comput. Phys. 221(1): 370-394 (2007) - 2006
- [j5]Shaoqiang Tang, Thomas Y. Hou, Wing Kam Liu:
A pseudo-spectral multiscale method: Interfacial conditions and coarse grid equations. J. Comput. Phys. 213(1): 57-85 (2006) - [j4]Sergey N. Medyanik, Eduard G. Karpov, Wing Kam Liu:
Domain reduction method for atomistic simulations. J. Comput. Phys. 218(2): 836-859 (2006) - [j3]Yaling Liu, Wing Kam Liu:
Rheology of red blood cell aggregation by computer simulation. J. Comput. Phys. 220(1): 139-154 (2006) - [j2]Do Wan Kim, Wing Kam Liu:
Maximum principle and convergence analysis for the meshfree point collocation method. SIAM J. Numer. Anal. 44(2): 515-539 (2006) - 2005
- [j1]Weimin Han, Wing Kam Liu:
Flexible piecewise approximations based on partition of unity. Adv. Comput. Math. 23(1-2): 191-199 (2005)
Coauthor Index
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