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Projects: Projects for Investigator
Reference Number EP/W036517/1
Title An automated high-throughput robotic platform for accelerated battery and fuels discovery - DIGIBAT
Status Started
Energy Categories Other Power and Storage Technologies(Energy storage) 50%;
Hydrogen and Fuel Cells(Fuel Cells, Other applications) 50%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Chemistry) 50%;
PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials) 10%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 25%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 15%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor M Titirici
No email address given
Engineering and Materials Science
Queen Mary, University of London
Award Type Standard
Funding Source EPSRC
Start Date 01 January 2023
End Date 31 December 2025
Duration 36 months
Total Grant Value £1,656,452
Industrial Sectors Energy
Region London
Programme Energy : Energy
Investigators Principal Investigator Professor M Titirici , Engineering and Materials Science, Queen Mary, University of London (99.994%)
  Other Investigator Dr R Greenaway , Chemistry, Imperial College London (0.001%)
Dr GJ Offer , Earth Science and Engineering, Imperial College London (0.001%)
Dr A (Aron ) Walsh , Chemistry, University of Bath (0.001%)
Dr M Ryan , Materials, Imperial College London (0.001%)
Dr I E L Stephens , Materials, Imperial College London (0.001%)
Dr SJ Cooper , Design Engineering (Dyson School, Imperial College London (0.001%)
  Industrial Collaborator Project Contact , Sheffield Forgemasters Engineering Ltd (SFEL) (0.000%)
Project Contact , Johnson Matthey plc (0.000%)
Project Contact , Toyota Motor Europe, Belgium (0.000%)
Project Contact , BP International Ltd (0.000%)
Project Contact , Faradion Limited (0.000%)
Project Contact , Ruhr-University Bochum (RUB), Germany (0.000%)
Project Contact , Deregallera Ltd (0.000%)
Project Contact , University of Toronto, Canada (0.000%)
Project Contact , DiGiFab (0.000%)
Project Contact , Enserv Group (0.000%)
Web Site
Abstract Batteries and electrocatalytic devices (i.e electrolysers, fuel cells) have multiple components spanning different length scales. The materials design space in these research fields is too large to be explored empirically. While experimental work can be directed by computational modelling to make this challenge more tenable, this is time consuming, and the number of tests/syntheses is still be too large on the experimental scale.DIGIBAT will combine computational tools (e.g. atomistic and molecular modelling, process modelling, computer-aided design, machine learning algorithms, data science) and automated HT synthesis, characterisation and testing from atoms to devices to accelerate the discovery and optimisation ofnew batteries and electrofuels.Specifically, DIGIBAT will comprise three HT stations: Platform A dedicated to materials synthesis and characterisation, Platform B dedicated to HT electrodes manufacturing all the way to device manufacturing and Platform C dedicated to HT electrochemical testing for both batteries and electrocatalysts. DIGIBAT will bepaired with materials characterisation also applied in HT, including in operando characterisation. By executing data-rich experiments, DIGIBAT will increase the pace of innovation, while enhancing reproducibility by eliminating human errors.The research enabled by ATLAS will target challenges related to: (1) the discovery and optimisation of new battery chemistries, (2) synthesising, optimising, and testing recycled battery materials; (3) Discovering precious metal free electrocatalysts for green H2 production and fuel cells; (4) Efficient N2 to ammonia and CO2 reduction to fuels and chemicals for electrocatalysts discovery

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Added to Database 25/01/23