AI3SD Video: Calibrated deep representations and entropy based active learning for materials property prediction
AI3SD Video: Calibrated deep representations and entropy based active learning for materials property prediction
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 ninth talk in the ML4MC series and formed part of the session "Mentor Talks".
AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training
Butler, Keith Tobias
f28d27ee-757c-4ddd-be9e-6c930cdb42bb
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
10 August 2021
Butler, Keith Tobias
f28d27ee-757c-4ddd-be9e-6c930cdb42bb
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Butler, Keith Tobias
(2021)
AI3SD Video: Calibrated deep representations and entropy based active learning for materials property prediction.
Kanza, Samantha, Frey, Jeremy G. and Hooper, Victoria
(eds.)
Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom.
06 Jul - 24 Aug 2021.
(doi:10.5258/SOTON/P0143).
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 ninth talk in the ML4MC series and formed part of the session "Mentor Talks".
Video
Ml4MC-KeithButler-100821
- Version of Record
More information
Published date: 10 August 2021
Additional Information:
Keith Butler is as a senior data scientist working on materials science research in the SciML team at Rutherford Appleton Laboratory. SciML is a team in the Scientific Computing Division and we work with the large STFC facilities (Diamond, ISIS Neutron and Muon Source and Central Laser Facility for example) to use machine learning to push the boundaries of fundamental science.
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: 450849
URI: http://eprints.soton.ac.uk/id/eprint/450849
PURE UUID: 9cc6bc91-f7d0-4143-b9a2-1d5c619c3f22
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Date deposited: 16 Aug 2021 16:47
Last modified: 17 Mar 2024 03:51
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Contributors
Author:
Keith Tobias Butler
Editor:
Victoria Hooper
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