📣 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.

Machine Learning-Assisted Discovery of Flow Reactor Designs (2023)

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/10.48550/arxiv.2308.08841

Publication URI: https://arxiv.org/abs/2308.08841

Type: Preprint