Rupture of a Surfactant-Covered Thin Liquid Film on a Flexible Wall. - Omar K. Matar; Satish Kumar (SIAM J. Appl. Math., 2004)

An Interface-Tracking Technique for Multiphase Flow with Soluble Surfactant. - Seungwon Shin; Jalel Chergui; Damir Juric; Lyes Kahouadji; Omar K. Matar; Richard V. Craster (CoRR, 2017)

Reduced Models for Thick Liquid Layers with Inertia on Highly Curved Substrates. - Alexander W. Wray; Demetrios T. Papageorgiou; Omar K. Matar (SIAM J. Appl. Math., 2017)

A hybrid interface tracking - level set technique for multiphase flow with soluble surfactant. - Seungwon Shin 002; Jalel Chergui; Damir Juric; Lyes Kahouadji; Omar K. Matar; Richard V. Craster (J. Comput. Phys., 2018)

A GPU Accelerated Lennard-Jones System for Immersive Molecular Dynamics Simulations in Virtual Reality. - Nitesh Bhatia; Erich A. Müller; Omar K. Matar (HCI (11), 2020)

Does Immersive VR Increase Learning Gain When Compared to a Non-immersive VR Learning Experience? - Khadija Mahmoud; Isaac Harris; Husam Yassin; Thomas J. Hurkxkens; Omar K. Matar; Nitesh Bhatia; Irene Kalkanis (HCI (26), 2020)

Data-driven surrogate modelling and benchmarking for process equipment. - Gabriel F. N. Gonçalves; Assen Batchvarov; Yuyi Liu; Yuxin Liu; Lachlan Mason; Indranil Pan; Omar K. Matar (CoRR, 2020)

Numerical simulation, clustering and prediction of multi-component polymer precipitation. - Pavan Inguva; Lachlan Mason; Indranil Pan; Miselle Hengardi; Omar K. Matar (CoRR, 2020)

Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation. - Asiri Obeysekara; Pablo Salinas; Claire E. Heaney; Lyes Kahouadji; Lluís Via-Estrem; Jiansheng Xiang; Narakorn Srinil; André Nicolle; Omar K. Matar; Christopher C. Pain (Adv. Eng. Softw., 2021)

Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities. - Indranil Pan; Lachlan Mason; Omar K. Matar (CoRR, 2021)

Learning and Teaching Fluid Dynamics using Augmented and Mixed Reality. - Nitesh Bhatia; Omar K. Matar (ISMAR Adjunct, 2022)

An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. - 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 (CoRR, 2022)

Rule-based Evolutionary Bayesian Learning. - Themistoklis Botsas; Lachlan Robert Mason; Omar K. Matar; Indranil Pan (CoRR, 2022)

Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors. - Tom Savage; Nausheen Basha; Omar K. Matar; Ehecatl Antonio del Rio-Chanona (CoRR, 2022)

Analyzing drop coalescence in microfluidic device with a deep learning generative model. - Kewei Zhu; Sibo Cheng; Nina Kovalchuk; Mark Simmons; Yi-Ke Guo; Omar K. Matar; Rossella Arcucci (CoRR, 2023)

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels. - Tullio Traverso; Francesco Coletti; Luca Magri; Tassos G. Karayiannis; Omar K. Matar (CoRR, 2023)

Machine Learning-Assisted Discovery of Novel Reactor Designs via CFD-Coupled Multi-fidelity Bayesian Optimisation. - Tom Savage; Nausheen Basha; Jonathan McDonough; Omar K. Matar; Ehecatl Antonio del Rio-Chanona (CoRR, 2023)

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. - Sibo Cheng; Jianhua Chen; Charitos Anastasiou; Panagiota Angeli; Omar K. Matar; Yi-Ke Guo; Christopher C. Pain; Rossella Arcucci (J. Sci. Comput., 2023)

Multi-fidelity data-driven design and analysis of reactor and tube simulations. - Tom Savage; Nausheen Basha; Jonathan McDonough; Omar K. Matar; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2023)

Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries. - Boyang Chen 002; Claire E. Heaney; Jefferson L. M. A. Gomes; Omar K. Matar; Christopher C. Pain (CoRR, 2024)

On the convection boundedness of numerical schemes across discontinuities. - Xi Deng; Zhen-Hua Jiang; Omar K. Matar; Chao Yan 005 (CoRR, 2024)

Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves. - Claire E. Heaney; Yuling Li; Omar K. Matar; Christopher C. Pain (Neural Networks, 2024)