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Patent Searching and Data


Title:
PREDICTING CHEMICAL REACTIONS USING MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2020/007962
Kind Code:
A3
Abstract:
The present invention provides a method to generate a predictive model for a reaction set, which reaction set is the sum of the reaction outcomes for a plurality of chemical inputs. Also provided is a system for generating a predictive model for a reaction set, which system may be used in the method. The system comprises a synthesiser for conducting reactions, which synthesiser is an automated synthesiser, an analytical unit for monitoring reactions performed by the synthesiser, and a control unit suitably programmed with a machine learning algorithm, for analysing analytical data from the analytical unit, and for controlling the synthesiser.

Inventors:
CRONIN LEROY (GB)
Application Number:
PCT/EP2019/067948
Publication Date:
March 19, 2020
Filing Date:
July 04, 2019
Export Citation:
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Assignee:
UNIV GLASGOW COURT (GB)
International Classes:
G16C20/10; G16C20/70
Domestic Patent References:
WO2003044219A12003-05-30
Foreign References:
US5463564A1995-10-31
US5862514A1999-01-19
US6728641B12004-04-27
US20050177280A12005-08-11
US20170121852A12017-05-04
US20080177478A12008-07-24
Other References:
COLEY C. W. ET AL: "Machine Learning in Computer-Aided Synthesis Planning", ACCOUNTS OF CHEMICAL RESEARCH, vol. 51, no. 5, 1 May 2018 (2018-05-01), US, pages 1281 - 1289, XP055660945, ISSN: 0001-4842, DOI: 10.1021/acs.accounts.8b00087
AHMAD Z. ET AL: "Multiple neural networks modeling techniques in process control: a review", ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, vol. 4, no. 4, 8 April 2009 (2009-04-08), US, pages 403 - 419, XP055663711, ISSN: 1932-2135, DOI: 10.1002/apj.213
Attorney, Agent or Firm:
MEWBURN ELLIS LLP (GB)
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