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08/17/2023
Machine Learning-Assisted Discovery of Novel Reactor Designs
Additive manufacturing has enabled the fabrication of advanced reactor g...
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05/01/2023
Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations
The development of new manufacturing techniques such as 3D printing have...
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04/29/2023
Analyzing drop coalescence in microfluidic device with a deep learning generative model
Predicting drop coalescence based on process parameters is crucial for e...
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04/07/2022
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Reduced-order modelling and low-dimensional surrogate models generated u...
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02/28/2022
Rule-based Evolutionary Bayesian Learning
In our previous work, we introduced the rule-based Bayesian Regression, ...
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02/13/2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes
The modelling of multiphase flow in a pipe presents a significant challe...
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07/10/2020
Numerical simulation, clustering and prediction of multi-component polymer precipitation
Multi-component polymer systems are of interest in organic photovoltaic ...
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03/13/2020