The University of Southampton
University of Southampton Institutional Repository

AI & ML in Chemical Discovery & Development

AI & ML in Chemical Discovery & Development
AI & ML in Chemical Discovery & Development
This was a joint networks event between AI3SD, Dial-a-Molecule, Directed Assembly Network and the University of Leeds. This was a residential event aiming to bring together stakeholders with different backgrounds, e.g.academic/industry, researchers/data owners, and chemists/engineers/computer scientists, to discuss applications of AI and Machine Learning in Chemical Discovery and Development. The event was made up of some priming talks to stimulate discussion, and a series of structured discussion sessions over the two days to form a general consensus on some key objectives and milestones to deliver the promised impacts of these important tools within the remit of the three networks.
Artificial Intelligence, Machine Learning, Chemistry, Chemical Discovery, Chemical Development, scientific discovery
13
University of Southampton
Nguyen, Bao
dff7138b-bc7f-42c1-a210-1297fd1f4e9f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Whitby, Richard J.
45632236-ab00-4ad0-a02d-6209043e818b
SMITH, GILLIAN
bdb7c8fb-f303-4226-bad6-a464682301a3
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Whitby, Richard J.
45632236-ab00-4ad0-a02d-6209043e818b
SMITH, GILLIAN
bdb7c8fb-f303-4226-bad6-a464682301a3
Nguyen, Bao
dff7138b-bc7f-42c1-a210-1297fd1f4e9f

Nguyen, Bao , Kanza, Samantha, Frey, Jeremy G., Whitby, Richard J. and SMITH, GILLIAN (eds.) (2019) AI & ML in Chemical Discovery & Development (AI3SD-Event-Series, , (doi:10.5258/SOTON/P0017), 13) University of Southampton 11pp.

Record type: Monograph (Project Report)

Abstract

This was a joint networks event between AI3SD, Dial-a-Molecule, Directed Assembly Network and the University of Leeds. This was a residential event aiming to bring together stakeholders with different backgrounds, e.g.academic/industry, researchers/data owners, and chemists/engineers/computer scientists, to discuss applications of AI and Machine Learning in Chemical Discovery and Development. The event was made up of some priming talks to stimulate discussion, and a series of structured discussion sessions over the two days to form a general consensus on some key objectives and milestones to deliver the promised impacts of these important tools within the remit of the three networks.

Text
AI3SD-Event-Series_Report-13_AIMLInChemicalDiscoveryAndDevelopment - Version of Record
Available under License Creative Commons Attribution.
Download (627kB)

More information

Published date: 30 July 2019
Keywords: Artificial Intelligence, Machine Learning, Chemistry, Chemical Discovery, Chemical Development, scientific discovery

Identifiers

Local EPrints ID: 434338
URI: http://eprints.soton.ac.uk/id/eprint/434338
PURE UUID: 45a0255d-59b4-486e-bfea-ab45d4a12d10
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Richard J. Whitby: ORCID iD orcid.org/0000-0002-9891-5502

Catalogue record

Date deposited: 19 Sep 2019 16:30
Last modified: 07 Oct 2020 02:23

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×