Charith Rathnayaka (C. M. Rathnayaka)
Queensland University of Technology
H-index: 10
Oceania-Australia
Top articles of Charith Rathnayaka (C. M. Rathnayaka)
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Fibre optic sensing technology for field assessment of thermal conductivity of aquatic sediments | Journal of Soils and Sediments | Laureano Gonzalez Rodriguez Damon Kent Charith Rathnayaka Helen Fairweather Adrian McCallum | 2024/3/11 |
Preparative pre-laboratory online resources for effectively managing cognitive load of engineering students | European Journal of Engineering Education | CM Rathnayaka Janani Ganapathi Steven Kickbusch Les Dawes Richard Brown | 2024/1/2 |
Developing a Physics-Informed Machine Learning (PIML) Predictive Framework for Pollutant Dispersion in the Atmosphere | 1st Australasian Conference on Particle Approaches and Applications in Fluids (ACPAAF): Conference Booklet | Kalani Ranathunga Yuantong Gu Charith Rathnayaka | 2024 |
The Impact of Activation Functions on Physics-Informed Neural Networks for Computational Mechanics | Sixth Australasian Conference of Computational Mechanics | Peter Kurukulasuriya Charith Rathnayaka Mudiyanselage Chanaka Prabuddha Batuwatta Gamage Paul Jeong Jinshuai Bai | 2023/12/8 |
Weight initialization in physics-informed neural networks to enhance consistency of mass-loss predictions of plant cells undergoing drying | Proceedings of the International Conference on Computational Methods, Volume 10 | CP Batuwatta-Gamage¹ CM Rathnayaka H Charminda P Karunasena MA Karim YuanTong Gu¹ | 2023 |
A complete Physics-Informed Neural Network-based framework for structural topology optimization | Computer Methods in Applied Mechanics and Engineering | Hyogu Jeong Chanaka Batuwatta-Gamage Jinshuai Bai Yi Min Xie Charith Rathnayaka | 2023/12/1 |
Customization of loss weights for physics-informed neural networks (pinns) when solving multiple partial differential equations: A case study on plant cell drying | USNCCM17 Book of Abstracts | Chanaka Prabuddha Batuwatta Gamage Charith Rathnayaka Mudiyanselage Chaminda Prasad Karunasena Helambage Yuantong Gu | 2023 |
A novel physics-informed neural networks approach (PINN-MT) to solve mass transfer in plant cells during drying | Biosystems Engineering | Chanaka P Batuwatta-Gamage Charith Rathnayaka Helambage CP Karunasena Hyogu Jeong Azharul Karim | 2023/6/1 |
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics | International Journal of Computational Methods | Jinshuai Bai Hyogu Jeong Chanaka P Batuwatta-Gamage Shusheng Xiao Qingxia Wang | 2023/6 |
A review of sedimentation rates in freshwater reservoirs: recent changes and causative factors | Laureano Gonzalez Rodriguez Adrian McCallum Damon Kent Charith Rathnayaka Helen Fairweather | 2023/4 | |
A physics-informed neural network-based topology optimization (PINNTO) framework for structural optimization | Engineering Structures | Hyogu Jeong Jinshuai Bai Chanaka Prabuddha Batuwatta-Gamage Charith Rathnayaka Ying Zhou | 2023/3/1 |
Influence of pre-lab online resources on student preparedness and academic performance for thermodynamics: A longitudinal study | Charith Rathnayaka Janani Ganapathi Steven Kickbusch Les Dawese Richard Brown | 2022/1/1 | |
Detection of sedimentation in water storages using Distributed Temperature Sensing (DTS) | Laureano Gonzalez R Adrian McCallum Damon Kent Charith Rathnayaka Mark Robins | 2022/1/1 | |
Physics-informed neural network for increasing prediction accuracy of microscale variations of single plant cell during drying | Proceedings of the 15th World Congress on Computational Mechanics (WCCM) and the 8th Asian Pacific Congress on Computational Mechanics (APCOM) | Chanaka Prabuddha Batuwatta Gamage CM Rathnayaka HCP Karunasena WDCC Wijerathne MA Karim | 2022 |
A physics-informed neural network-based surrogate framework to predict moisture concentration and shrinkage of a plant cell during drying | Journal of Food Engineering | CP Batuwatta-Gamage CM Rathnayaka H Charminda P Karunasena WDCC Wijerathne Hyogu Jeong | 2022/11/1 |
Particle-Based Numerical Modelling of Liquid Marbles: Recent Advances and Future Perspectives | CM Rathnayaka CS From Nadeeshani Maheshika Geekiyanage Yuantong Gu N-T Nguyen | 2022/8 | |
Focus on Peer Leaders and Peer Learning in Different National and Disciplinary Contexts | Journal of Peer Learning | Clare Power Henk Huijser Charith Rathnayaka | 2022 |
A general Neural Particle Method for hydrodynamics modeling | Computer Methods in Applied Mechanics and Engineering | Jinshuai Bai Ying Zhou Yuwei Ma Hyogu Jeong Haifei Zhan | 2022/4/1 |
Evaluation as the “Eternal” Challenge: Opportunities and Innovations in Demonstrating Value in Ever-Changing Peer Learning Environments | Journal of Peer Learning | Clare Power Henk Huijser Charith M Rathnayaka | 2022 |
A data-driven smoothed particle hydrodynamics method for fluids | Engineering Analysis with Boundary Elements | Jinshuai Bai Ying Zhou Charith Malinga Rathnayaka Haifei Zhan Emilie Sauret | 2021/11/1 |
Co-Authors
