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ISTCP 2019: 10th Triennial Congress of the International Society for Theoretical Chemical Physics

ISTCP 2019: 10th Triennial Congress of the International Society for Theoretical Chemical Physics
ISTCP 2019: 10th Triennial Congress of the International Society for Theoretical Chemical Physics
This seven-day conference mainly consisted of a mixture of plenary lectures and parallel presentation sessions, with two poster sessions and a session on European Research Council funding. Each day had two coffee breaks and time for lunch, which, combined with the poster sessions, allowed time for networking. The conference was broad in its overall scope – covering most aspects of theoretical chemical physics / physical chemistry, but three sessions were dedicated to machine learning / AI. A number of talks within other sessions also contained significant AI for chemical discovery content too.
12
University of Southampton
Hill, Grant
5d83ec45-0bd3-4603-890b-abb8ae8e0c33
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hill, Grant
5d83ec45-0bd3-4603-890b-abb8ae8e0c33

Hill, Grant , Kanza, Samantha and Frey, Jeremy G. (eds.) (2019) ISTCP 2019: 10th Triennial Congress of the International Society for Theoretical Chemical Physics (AI3SD-Event-Series, , (doi:10.5258/SOTON/P0016), 12) University of Southampton 11pp.

Record type: Monograph (Project Report)

Abstract

This seven-day conference mainly consisted of a mixture of plenary lectures and parallel presentation sessions, with two poster sessions and a session on European Research Council funding. Each day had two coffee breaks and time for lunch, which, combined with the poster sessions, allowed time for networking. The conference was broad in its overall scope – covering most aspects of theoretical chemical physics / physical chemistry, but three sessions were dedicated to machine learning / AI. A number of talks within other sessions also contained significant AI for chemical discovery content too.

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Published date: 7 August 2019

Identifiers

Local EPrints ID: 433908
URI: https://eprints.soton.ac.uk/id/eprint/433908
PURE UUID: 3403e942-1ba0-48ef-9c82-6e855b7c7f58
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

Catalogue record

Date deposited: 06 Sep 2019 16:30
Last modified: 07 Sep 2019 00:40

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