📣 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 to populate the Quantemol Database (QDB)

Lead Research Organisation: UNIVERSITY COLLEGE LONDON
Department Name: Physics and Astronomy

Abstract

Networks of reactions which drive molecular plasma are important in the interstellar medium and for many technological uses of plasmas. Such networks can be generated automatically given a list of constituent species but rapidly become unwieldy. The project will focus on using machine learning techniques to design appropriate networks and then to allow their validation using observational data.

Summary above to be updated

People

ORCID iD

Mala Virdee (Student)

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
ST/P006736/1 30/09/2017 30/03/2026
1966471 Studentship ST/P006736/1 30/09/2017 09/09/2018 Mala Virdee