📣 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-objective Bayesian optimisation using q -noisy expected hypervolume improvement ( q NEHVI) for the Schotten-Baumann reaction (2024)

First Author: Zhang J

Attributed to: Chemobots: Digital-Chemical-Robotics to Convert Code to Molecules and Complex Systems funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1039/d3re00502j

Publication URI: http://dx.doi.org/10.1039/d3re00502j

Type: Journal Article/Review

Parent Publication: Reaction Chemistry & Engineering

Issue: 3

ISSN: 20589883