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AI3SD Video: Understanding the solid form: Structural Systematics and Quantum Crystallography

AI3SD Video: Understanding the solid form: Structural Systematics and Quantum Crystallography
AI3SD Video: Understanding the solid form: Structural Systematics and Quantum Crystallography
This talk forms part of the ML4MC (Machine Learning for Materials and Chemicals Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Directed Assembly Network. This series ran over summer 2021 and covers topics that encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry. This video was the fourteenth talk in the ML4MC series and formed part of the session "Mentor Talks".
AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training
Coles, Simon J.
3116f58b-c30c-48cf-bdd5-397d1c1fecf8
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Coles, Simon J.
3116f58b-c30c-48cf-bdd5-397d1c1fecf8
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f

Coles, Simon J. (2021) AI3SD Video: Understanding the solid form: Structural Systematics and Quantum Crystallography. Kanza, Samantha and Frey, Jeremy G. (eds.) Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom. 06 Jul - 24 Aug 2021. (doi:10.5258/SOTON/P0144).

Record type: Conference or Workshop Item (Other)

Abstract

This talk forms part of the ML4MC (Machine Learning for Materials and Chemicals Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Directed Assembly Network. This series ran over summer 2021 and covers topics that encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry. This video was the fourteenth talk in the ML4MC series and formed part of the session "Mentor Talks".

Video
Ml4MC-SimonColes-170821 - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 17 August 2021
Additional Information: Simon Coles is Professor of Structural Chemistry and Director of both the UK National Crystallography Service and the UK Physical Sciences Data-science Service. Simon obtained his BSc and PhD in structural systematics and molecular modelling at the University of Wales, Cardiff in 1992 and 1997 respectively. He held a Postdoctoral appointment with the Royal Institution, but based at the CCLRC Daresbury Laboratory, where he helped build the highly successful Small Molecule Single Crystal beamline, 9.8. In 1998 Simon moved to Southampton to establish a new laboratory and manage the National Crystallography Service. Simon transferred to Chemistry staff in July 2009, when he took over the role of Director of the National Crystallography Service. During the last 20 years he has been awarded a number of grants in the areas of Structural Chemistry, Information Management, eResearch and eLearning. He also became the Director of the UK Physical Sciences Data-science Service in 2019. Simon is an author on around 900 papers covering the areas of structural chemistry, support for chemical synthesis and chemical information and is one of the most prolific chemical crystallographers of all time (measured by number of contributions to the Cambridge Structural Database). He has served on many national and international facilities and professional society bodies and currently sits on the Editorial Boards of Crystallography Reviews and Supramolecular Chemistry.
Venue - Dates: Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom, 2021-07-06 - 2021-08-24
Keywords: AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training

Identifiers

Local EPrints ID: 451136
URI: http://eprints.soton.ac.uk/id/eprint/451136
PURE UUID: e2c2e5e1-53e6-41e1-88a3-d43cf4517b3b
ORCID for Simon J. Coles: ORCID iD orcid.org/0000-0001-8414-9272
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: 14 Sep 2021 15:12
Last modified: 15 Sep 2021 02:19

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