7 citations · 11 across the 5 of their papers we have counts for
5 papers
Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
Tom Savage, Ehecatl Antonio del Rio Chanona
Bayesian optimization has been successfully applied throughout Chemical Engineering for the optimization of functions that are expensive-to-evaluate, or where gradients are not eas…
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
Tom Savage, Ehecatl Antonio del Rio Chanona
Domain experts often possess valuable physical insights that are overlooked in fully automated decision-making processes such as Bayesian optimisation. In this article we apply hig…
Machine Learning-Assisted Discovery of Flow Reactor Designs
Tom Savage, Nausheen Basha, Jonathan McDonough +3
Additive manufacturing has enabled the fabrication of advanced reactor geometries, permitting larger, more complex design spaces. Identifying promising configurations within such s…
Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations
Tom Savage, Nausheen Basha, Jonathan McDonough +2
The development of new manufacturing techniques such as 3D printing have enabled the creation of previously infeasible chemical reactor designs. Systematically optimizing the highl…
Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors
Tom Savage, Nausheen Basha, Omar Matar +1
New manufacturing techniques such as 3D printing have recently enabled the creation of previously infeasible chemical reactor designs. Optimizing the geometry of the next generatio…