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Pao-Hsiung Chiu
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2020 – today
- 2024
- [c6]Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao:
Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. IJCNN 2024: 1-8 - 2023
- [j11]Pao-Hsiung Chiu:
cDFIB: A convolutional direct forcing immersed boundary method for solving incompressible flows with time-varying geometries. J. Comput. Phys. 487: 112178 (2023) - [c5]Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong:
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion 2023: 2144-2151 - [c4]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN 2023: 1-10 - [i8]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR abs/2302.01518 (2023) - [i7]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong:
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR abs/2312.03243 (2023) - 2022
- [c3]Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi:
Physics Compliance as a Metric for Neural Network Uncertainty. SSCI 2022: 1-7 - [c2]Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi:
Design of Turing Systems with Physics-Informed Neural Networks. SSCI 2022: 1180-1186 - [i6]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da:
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data. CoRR abs/2211.12042 (2022) - [i5]Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi:
Design of Turing Systems with Physics-Informed Neural Networks. CoRR abs/2211.13464 (2022) - [i4]Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong:
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR abs/2212.07624 (2022) - 2021
- [i3]Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao:
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. CoRR abs/2105.01838 (2021) - [i2]Quang Tuyen Le, Pao-Hsiung Chiu, Chinchun Ooi:
U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels. CoRR abs/2105.05173 (2021) - [i1]Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR abs/2110.15832 (2021)
2010 – 2019
- 2019
- [j10]Pao-Hsiung Chiu:
A coupled phase field framework for solving incompressible two-phase flows. J. Comput. Phys. 392: 115-140 (2019) - 2014
- [c1]Chih-Wen Chang, Chia-Chen Kuo, Pao-Hsiung Chiu:
Milkcrown simulation using OpenACC accelerated framework. SIGGRAPH ASIA Posters 2014: 45 - 2011
- [j9]Pao-Hsiung Chiu, Yan-Ting Lin:
A conservative phase field method for solving incompressible two-phase flows. J. Comput. Phys. 230(1): 185-204 (2011) - [j8]Tony W. H. Sheu, Pao-Hsiung Chiu, Ching-Hao Yu:
On the development of a high-order compact scheme for exhibiting the switching and dissipative solution natures in the Camassa-Holm equation. J. Comput. Phys. 230(13): 5399-5416 (2011) - 2010
- [j7]Pao-Hsiung Chiu, Long Lee, Tony W. H. Sheu:
A sixth-order dual preserving algorithm for the Camassa-Holm equation. J. Comput. Appl. Math. 233(11): 2767-2778 (2010) - [j6]Pao-Hsiung Chiu, Reui-Kuo Lin, Tony W. H. Sheu:
A differentially interpolated direct forcing immersed boundary method for predicting incompressible Navier-Stokes equations in time-varying complex geometries. J. Comput. Phys. 229(12): 4476-4500 (2010) - [j5]Roberto Camassa, Pao-Hsiung Chiu, Long Lee, Tony W. H. Sheu:
Viscous and inviscid regularizations in a class of evolutionary partial differential equations. J. Comput. Phys. 229(19): 6676-6687 (2010)
2000 – 2009
- 2009
- [j4]Tony W. H. Sheu, Ching-Hao Yu, Pao-Hsiung Chiu:
Development of a dispersively accurate conservative level set scheme for capturing interface in two-phase flows. J. Comput. Phys. 228(3): 661-686 (2009) - [j3]Pao-Hsiung Chiu, Tony W. H. Sheu:
On the development of a dispersion-relation-preserving dual-compact upwind scheme for convection-diffusion equation. J. Comput. Phys. 228(10): 3640-3655 (2009) - [j2]Pao-Hsiung Chiu, Long Lee, Tony W. H. Sheu:
A dispersion-relation-preserving algorithm for a nonlinear shallow-water wave equation. J. Comput. Phys. 228(21): 8034-8052 (2009) - 2008
- [j1]Pao-Hsiung Chiu, Tony W. H. Sheu, Reui-Kuo Lin:
An effective explicit pressure gradient scheme implemented in the two-level non-staggered grids for incompressible Navier-Stokes equations. J. Comput. Phys. 227(8): 4018-4037 (2008)
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