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)

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)

Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems. - Tom Savage; Ehecatl Antonio del Rio-Chanona (CoRR, 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)

Human-algorithm collaborative Bayesian optimization for engineering systems. - Tom Savage; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2024)