Omar K. Matar

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 21

Top Topics

Convolutional Neural Networks

Top Venues

J. Comput. Phys.

Publications

Boyang Chen, Claire E. Heaney, Jefferson L. M. A. Gomes, Omar K. Matar, Christopher C. Pain
Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries. CoRR (2024)
Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain
Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves. Neural Networks 175 (2024)
Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci
Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR (2023)
Tom Savage, Nausheen Basha, Jonathan McDonough, Omar K. Matar, Ehecatl Antonio del Rio-Chanona
Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations. CoRR (2023)
Tom Savage, Nausheen Basha, Jonathan McDonough, Omar K. Matar, Ehecatl Antonio del Rio-Chanona
Multi-fidelity data-driven design and analysis of reactor and tube simulations. Comput. Chem. Eng. 179 (2023)
Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. 94 (1) (2023)
Tom Savage, Nausheen Basha, Jonathan McDonough, Omar K. Matar, Ehecatl Antonio del Rio-Chanona
Machine Learning-Assisted Discovery of Novel Reactor Designs via CFD-Coupled Multi-fidelity Bayesian Optimisation. CoRR (2023)
Tullio Traverso, Francesco Coletti, Luca Magri, Tassos G. Karayiannis, Omar K. Matar
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels. CoRR (2023)
Themistoklis Botsas, Lachlan Robert Mason, Omar K. Matar, Indranil Pan
Rule-based Evolutionary Bayesian Learning. CoRR (2022)
Claire E. Heaney, Zef Wolffs, Jón Atli Tómasson, Lyes Kahouadji, Pablo Salinas, André Nicolle, Omar K. Matar, Ionel Michael Navon, Narakorn Srinil, Christopher C. Pain
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. CoRR (2022)
Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR (2022)
Nitesh Bhatia, Omar K. Matar
Learning and Teaching Fluid Dynamics using Augmented and Mixed Reality. ISMAR Adjunct (2022)
Asiri Obeysekara, Pablo Salinas, Claire E. Heaney, Lyes Kahouadji, Lluís Via-Estrem, Jiansheng Xiang, Narakorn Srinil, André Nicolle, Omar K. Matar, Christopher C. Pain
Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation. Adv. Eng. Softw. 160 (2021)
Indranil Pan, Lachlan Mason, Omar K. Matar
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities. CoRR (2021)
Khadija Mahmoud, Isaac Harris, Husam Yassin, Thomas J. Hurkxkens, Omar K. Matar, Nitesh Bhatia, Irene Kalkanis
Does Immersive VR Increase Learning Gain When Compared to a Non-immersive VR Learning Experience? HCI (26) (2020)
Pavan Inguva, Lachlan Mason, Indranil Pan, Miselle Hengardi, Omar K. Matar
Numerical simulation, clustering and prediction of multi-component polymer precipitation. CoRR (2020)
Nitesh Bhatia, Erich A. Müller, Omar K. Matar
A GPU Accelerated Lennard-Jones System for Immersive Molecular Dynamics Simulations in Virtual Reality. HCI (11) (2020)
Gabriel F. N. Gonçalves, Assen Batchvarov, Yuyi Liu, Yuxin Liu, Lachlan Mason, Indranil Pan, Omar K. Matar
Data-driven surrogate modelling and benchmarking for process equipment. CoRR (2020)
Seungwon Shin, Jalel Chergui, Damir Juric, Lyes Kahouadji, Omar K. Matar, Richard V. Craster
A hybrid interface tracking - level set technique for multiphase flow with soluble surfactant. J. Comput. Phys. 359 (2018)
Seungwon Shin, Jalel Chergui, Damir Juric, Lyes Kahouadji, Omar K. Matar, Richard V. Craster
An Interface-Tracking Technique for Multiphase Flow with Soluble Surfactant. CoRR (2017)
Alexander W. Wray, Demetrios T. Papageorgiou, Omar K. Matar
Reduced Models for Thick Liquid Layers with Inertia on Highly Curved Substrates. SIAM J. Appl. Math. 77 (3) (2017)
Omar K. Matar, Satish Kumar
Rupture of a Surfactant-Covered Thin Liquid Film on a Flexible Wall. SIAM J. Appl. Math. 64 (6) (2004)