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ORCIDOmar K. Matar
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2020 – today
- 2024
[j7]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: 106198 (2024)- [i14]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 abs/2401.06755 (2024) - 2023
- [j6]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: 108410 (2023) - [j5]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): 11 (2023) - [i13]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 abs/2305.00261 (2023) - [i12]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 abs/2305.00710 (2023) - [i11]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 abs/2305.18406 (2023) - [i10]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 abs/2308.08841 (2023) - 2022
- [c3]Nitesh Bhatia, Omar K. Matar:
Learning and Teaching Fluid Dynamics using Augmented and Mixed Reality. ISMAR Adjunct 2022: 865-869 - [i9]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 abs/2202.06170 (2022) - [i8]Themistoklis Botsas, Lachlan Robert Mason, Omar K. Matar, Indranil Pan:
Rule-based Evolutionary Bayesian Learning. CoRR abs/2202.13778 (2022) - [i7]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 abs/2204.03497 (2022) - [i6]Tom Savage, Nausheen Basha, Omar K. Matar, Ehecatl Antonio del Rio-Chanona:
Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors. CoRR abs/2210.17213 (2022) - 2021
- [j4]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: 103044 (2021) - [i5]Indranil Pan, Lachlan Mason, Omar K. Matar:
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities. CoRR abs/2111.06223 (2021) - 2020
- [c2]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: 19-34 - [c1]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: 480-498 - [i4]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 abs/2003.07701 (2020) - [i3]Pavan Inguva, Lachlan Mason, Indranil Pan, Miselle Hengardi, Omar K. Matar:
Numerical simulation, clustering and prediction of multi-component polymer precipitation. CoRR abs/2007.07276 (2020) - [i2]Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain:
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves. CoRR abs/2011.14820 (2020)
2010 – 2019
- 2018
- [j3]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: 409-435 (2018) - 2017
- [j2]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): 881-904 (2017) - [i1]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 abs/1702.02478 (2017)
2000 – 2009
- 2004
- [j1]Omar K. Matar, Satish Kumar:
Rupture of a Surfactant-Covered Thin Liquid Film on a Flexible Wall. SIAM J. Appl. Math. 64(6): 2144-2166 (2004)
Coauthor Index
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