| 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 | 91 | 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 | 52 | 2023 |
| Novel trends in numerical modelling of plant food tissues and their morphological changes during drying–a review CMR Mudiyanselage, HCP Karunasena, YT Gu, L Guan, W Senadeera Journal of Food Engineering 194, 24-39, 2017 | 46 | 2017 |
| Three-Dimensional (3D) Numerical Modeling of Morphogenesis in Dehydrated Fruits and Vegetables CM Rathnayaka, HCP Karunasena, W Senadeera, L Guan, YT Gu Advances in Agricultural Machinery and Technologies, 431-454, 2018 | 45* | 2018 |
| 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, 2023 | 42 | 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 | 41 | 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 |
| A review of sedimentation rates in freshwater reservoirs: recent changes and causative factors L Gonzalez Rodriguez, A McCallum, D Kent, C Rathnayaka, ... Aquatic Sciences 85 (2), 60, 2023 | 28 | 2023 |
| A coarse-grained multiscale model to simulate morphological changes of food-plant tissues undergoing drying W Wijerathne, CM Rathnayaka, HCP Karunasena, W Senadeera, ... Soft matter 15 (5), 901-916, 2019 | 23 | 2019 |
| Application of 3D imaging and analysis techniques for the study of food plant cellular deformations during drying CM Rathnayaka, HCP Karunasena, W Senadeera, YT Gu Drying Technology 36 (5), 509-522, 2018 | 19 | 2018 |
| 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 |
| Application of a coupled Smoothed Particle Hydrodynamics (SPH) and Coarse-Grained (CG) Numerical Modelling Approach to Study Three-Dimensional (3-D) Deformations of Single … CMR Mudiyanselage, HCP Karunasena, W Senadeera, Y Gu Soft Matter, 2018 | 16 | 2018 |
| A data-driven smoothed particle hydrodynamics method for fluids J Bai, Y Zhou, CM Rathnayaka, H Zhan, E Sauret, Y Gu Engineering Analysis with Boundary Elements 132, 12-32, 2021 | 14 | 2021 |
| A 3-D coupled Smoothed Particle Hydrodynamics and Coarse-Grained model to simulate drying mechanisms of small cell aggregates CM Rathnayaka, HCP Karunasena, W Senadeera, ... Applied Mathematical Modelling 67, 219-233, 2019 | 13 | 2019 |
| A three-dimensional (3-D) meshfree-based computational model to investigate stress-strain-time relationships of plant cells during drying CM Rathnayaka, HCP Karunasena, W Wijerathne, W Senadeera, YT Gu Plos one 15 (7), e0235712, 2020 | 12 | 2020 |
| Preparative pre-laboratory online resources for effectively managing cognitive load of engineering students CM Rathnayaka, J Ganapathi, S Kickbusch, L Dawes, R Brown European Journal of Engineering Education 49 (1), 113-138, 2024 | 10 | 2024 |
| A 3-D meshfree numerical model to analyze cellular scale shrinkage of different categories of fruits and vegetables during drying C Rathnayaka, C Karunasena, YT Gu, L Guan, J Banks, W Senadeera Proceedings of the 7th International Conference on Computational Methods …, 2016 | 10 | 2016 |
| 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 |
| Customization of loss weights for physics-informed neural networks (pinns) when solving multiple partial differential equations: A case study on plant cell drying CP Batuwatta Gamage, C Rathnayaka Mudiyanselage, CPK Helambage, ... USNCCM17 Book of Abstracts, 764-765, 2023 | 4 | 2023 |
| 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 |
YuanTong Gu (Y.T. Gu)Professor of Mechanical Engineering, Queensland University of TechnologyOverená e-mailová adresa na: qut.edu.au
