AI3SD Video: Machine Learning with Causality in Chemistry
AI3SD Video: Machine Learning with Causality in Chemistry
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 seventh talk in the ML4MC series and formed part of the session "Research Talks".
AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training
Nguyen, Bao
dff7138b-bc7f-42c1-a210-1297fd1f4e9f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
27 July 2021
Nguyen, Bao
dff7138b-bc7f-42c1-a210-1297fd1f4e9f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Nguyen, Bao
(2021)
AI3SD Video: Machine Learning with Causality in Chemistry.
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/P0133).
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 seventh talk in the ML4MC series and formed part of the session "Research Talks".
Video
Ml4MC-BaoNguyen-270721
- Version of Record
More information
Published date: 27 July 2021
Additional Information:
Dr Bao Nguyen is a Lecturer in Physical Organic Chemistry at University of Leeds, where he has been from September 2012. He actively collaborates with colleagues from both the School of Chemistry and School of Chemical and Process Engineering to address current challenges in process chemistry. He is a core member of the Institute of Process Research and Development (iPRD), a flagship institute set up by the Leeds Transformation Fund. Dr Nguyen did his PhD in Organic Chemistry at the University of Oxford, under the supervision of Dr John M. Brown FRS. He then moved to Dr Michael C. Willis’ group, where he developed the first Pd-catalysed coupling reaction employing sulfur dioxide by suppressing catalyst deactivation. Afterward, he joined Imperial College London, working in Dr King Kuok Hii’s group to delineate the nature of the palladium species in different catalytic reactions and developing separation methods for these species. He was awarded his first independent position as a Ramsay Memorial Fellow at Department of Chemistry, Imperial College London.
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: 450672
URI: http://eprints.soton.ac.uk/id/eprint/450672
PURE UUID: c429c1be-7942-41e0-bbd0-2923d4c2efd6
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Date deposited: 05 Aug 2021 16:36
Last modified: 17 Mar 2024 03:51
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Contributors
Author:
Bao Nguyen
Editor:
Victoria Hooper
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