| A physics-informed neural network-based topology optimization (PINNTO) framework for structural optimization H Jeong, J Bai, CP Batuwatta-Gamage, C Rathnayaka, Y Zhou, YT Gu Engineering Structures 278, 115484, 2023 | 84 | 2023 |
| A complete physics-informed neural network-based framework for structural topology optimization H Jeong, C Batuwatta-Gamage, J Bai, YM Xie, C Rathnayaka, Y Zhou, ... Computer Methods in Applied Mechanics and Engineering 417, 116401, 2023 | 46 | 2023 |
| A physics-informed neural network-based surrogate framework to predict moisture concentration and shrinkage of a plant cell during drying CP Batuwatta-Gamage, CM Rathnayaka, HCP Karunasena, W Wijerathne, ... Journal of Food Engineering 332, 111137, 2022 | 40 | 2022 |
| A general Neural Particle Method for hydrodynamics modeling J Bai, Y Zhou, Y Ma, H Jeong, H Zhan, C Rathnayaka, E Sauret, Y Gu Computer Methods in Applied Mechanics and Engineering 393, 114740, 2022 | 40 | 2022 |
| An introduction to programming physics-informed neural network-based computational solid mechanics J Bai, H Jeong, CP Batuwatta-Gamage, S Xiao, Q Wang, CM Rathnayaka, ... International Journal of Computational Methods 20 (10), 2350013, 2023 | 39 | 2023 |
| A novel physics-informed neural networks approach (PINN-MT) to solve mass transfer in plant cells during drying CP Batuwatta-Gamage, C Rathnayaka, HCP Karunasena, H Jeong, ... Biosystems Engineering 230, 219-241, 2023 | 17 | 2023 |
| Pore-scale modeling of multiphase flow in porous media using a conditional generative adversarial network (cGAN) Z Wang, H Jeong, Y Gan, JM Pereira, Y Gu, E Sauret Physics of Fluids 34 (12), 2022 | 14 | 2022 |
| A physics-informed neural network framework to investigate nonlinear and heterogenous shrinkage of drying plant cells CP Batuwatta-Gamage, CM Rathnayaka, HCP Karunasena, H Jeong, ... International Journal of Mechanical Sciences 275, 109267, 2024 | 5 | 2024 |
| An advanced physics-informed neural network-based framework for nonlinear and complex topology optimization H Jeong, C Batuwatta-Gamage, J Bai, C Rathnayaka, Y Zhou, YT Gu Engineering Structures 322, 119194, 2025 | 3 | 2025 |
| A physics-informed neural network framework for multi-physics coupling microfluidic problems R Sun, H Jeong, J Zhao, Y Gou, E Sauret, Z Li, Y Gu Computers & Fluids 284, 106421, 2024 | 2 | 2024 |
| A Physics-Informed Neural-Network-Based Multi-Domain Computational Model to Investigate Nonlinear and Heterogenous Shrinkage of Plant Cells During Drying C Batuwatta-Gamage, C Rathnayaka, HCP Karunasena, H Jeong, ... Available at SSRN 4609292, 0 | 1 | |
| Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights CP Batuwatta-Gamage, H Jeong, HCP Karunasena, MA Karim, ... arXiv preprint arXiv:2501.09034, 2025 | | 2025 |
| A meshless Runge-Kutta-based Physics-Informed Neural Network framework for structural vibration analysis S Xiao, J Bai, H Jeong, L Alzubaidi, YT Gu Engineering Analysis with Boundary Elements 170, 106054, 2025 | | 2025 |
| Advanced Physics Information Machine Learning Framework for Structural Optimization H Jeong Queensland University of Technology, 2024 | | 2024 |
| Topology optimization via Physics-Informed neural network H Jeong, YT Gu The 14th International Conference of Computational Methods (ICCM2023), 2023 | | 2023 |
| ADVANCEMENTS OF PHYSICS-INFORMED MACHINE LEARNING IN MODELLING AND SIMULATION FOR ENGINEERING AND SCIENCE Y GU, CP BATUWATTA-GAMAGE, H JEONG | | |
