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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
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Frey, Jeremy G.
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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.

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AI3SD-Event-Series_Report-13_AIMLInChemicalDiscoveryAndDevelopment - Version of Record
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Published date: 30 July 2019
Keywords: Artificial Intelligence, Machine Learning, Chemistry, Chemical Discovery, Chemical Development, scientific discovery
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Identifiers

Local EPrints ID: 434338
URI: http://eprints.soton.ac.uk/id/eprint/434338
DOI: doi:10.5258/SOTON/P0017
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

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Contributors

Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Richard J. Whitby ORCID iD
Editor: GILLIAN SMITH
Author: Bao Nguyen

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