📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Multi-fidelity Bayesian Optimisation of Reactor Simulations using Deep Gaussian Processes

First Author: Savage T

Attributed to: PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems (PREMIERE) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/b978-0-443-15274-0.50082-2

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85166984809

Type: Book Chapter

Book Title: 33rd European Symposium on Computer Aided Process Engineering (2023)

Page Reference: 511-517