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Reference Number EP/Y03502X/1
Title EPSRC Centre for Doctoral Training in Digital and Automated Materials Chemistry
Status Started
Energy Categories Other Cross-Cutting Technologies or Research 10%;
Not Energy Related 90%;
Research Types Training 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Chemistry) 25%;
PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials) 25%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor A Troisi
No email address given
Chemistry
University of Liverpool
Award Type Standard
Funding Source EPSRC
Start Date 01 April 2024
End Date 30 September 2032
Duration 102 months
Total Grant Value £7,266,925
Industrial Sectors Chemicals; Energy
Region North West
Programme EPSRC Training Grants
 
Investigators Principal Investigator Professor A Troisi , Chemistry, University of Liverpool (99.996%)
  Other Investigator Dr E Garcia-Tunon , Mech, Materials & Aerospace Engineerin, University of Liverpool (0.001%)
Professor V Kurlin , Computer Scienc, University of Liverpool (0.001%)
Professor M Rosseinsky , Chemistry, University of Liverpool (0.001%)
Dr AG Slater , Chemistry, University of Liverpool (0.001%)
  Industrial Collaborator Project Contact , QinetiQ Ltd (0.000%)
Project Contact , Ceres Power Limited (0.000%)
Project Contact , University of Liverpool (0.000%)
Project Contact , STFC (Science & Technology Facilities Council) (0.000%)
Project Contact , Diamond Light Source Ltd (0.000%)
Project Contact , Johnson Matthey plc (0.000%)
Project Contact , Astra Zeneca (0.000%)
Project Contact , Unilever Plc (0.000%)
Project Contact , IBM United Kingdom Ltd (0.000%)
Project Contact , Cambridge Crystallographic Data Centre (0.000%)
Project Contact , University of California, Santa Barbara (UCSB), USA (0.000%)
Project Contact , Becker Industrial Coatings Ltd (0.000%)
Project Contact , CPI Ltd (0.000%)
Project Contact , Synthomer Ltd (0.000%)
Project Contact , Innospec Environmental Ltd (0.000%)
Project Contact , Knowledge Centre for Materials Chemistry (0.000%)
Project Contact , NSG Group (UK) (0.000%)
Project Contact , University of Toronto, Canada (0.000%)
Project Contact , Victrex plc (0.000%)
Project Contact , Henry Royce Institute (0.000%)
Project Contact , Solvay Group (UK) (0.000%)
Project Contact , Croda Europe Limited (0.000%)
Project Contact , CRISMAT-ISMRA (0.000%)
Project Contact , Liverpool City Region Combined Authority (0.000%)
Web Site
Objectives
Abstract We will train a cohort of students at the interface between the physical and computer sciences to drive the critically needed implementation of digital and automated methods in chemistry and materials. Through such training, each student will develop a common language across the areas of automation, AI, synthesis, characterization and modelling, preparing them to become both leader and team player in this evolving and multifaceted research landscape.The lack of skilled individuals is one of the main obstacles to unlocking the potential of digital materials research. This is demonstrated by the enthusiastic response toward this proposal from our industrial partners, who span sectors and sizes: already 35 are involved and we have already received cash support corresponding to over 27 full studentships. This proposal will deliver the EPRSC strategic priority "Physical and Mathematical Sciences Powerhouse" by training in "discovery research in areas of potential high reward, connecting with industry and other partners to accelerate translation in areas such as catalysis, digital chemistry and materials discovery."The CDT training programme is based on a unique physical and intellectual infrastructure at the University of Liverpool. The Materials Innovation Factory (MIF) was established to deliver the vision of digital materials research in partnership with industry: it now co-locates over 100 industrial scientists from more than 15 companies with over 200 academic researchers. Since 2017, academics and industrial researchers from physical sciences, engineering and computer sciences have co-developed the intellectual environment, infrastructure and expertise to train scientists across these areas.To date, more than 40 PhD projects have been co-designed with and sponsored by our core industrial partners in the areas of organic, inorganic, hybrid, composite and formulated materials. Through this process, we have developed bespoke training in data science, AI, robotics, leadership, and computational methods. Now, this activity must be grown scalably and sustainably to match the rapidly increasing demand from our core partners and beyond. This CDT proposal, developed from our previous experience, allows us to significantly extend into new sectors and to a much larger number of partners, including late adopters of digital technologies. In particular, we can now reach SMEs, which currently have limited options to explore digitalization pathways without substantial initial investment.A distinctive and exciting training environment will be built exploiting the diverse background of the students. Peer learning and group activities within a cross-disciplinary team will accelerate the development of a common language. The ability to use a combination of skills from different individuals with distinct domain expertise to solve complex problems will build the teams capable of driving the necessary change in industry and academia. The professionaltraining will reflect the diversity of career opportunities available to this cohort in industry, academia and non-commercial research organizations. Each component will be bespoke for scientists in the domain of materials research (Entrepreneurship, Chemical Supply Chain, Science Policy, Regulatory Framework). External partners of training will bring different and novel perspectives (corporate, SMEs, start-ups, international academics but also charities, local authorities, consultancy firms). Cohort activities span the entire duration of the training, without formal division between "training" and "research" periods, exploiting the physical infrastructure of MIF and its open access area to foster a strong and vital sense of community. We will embed EDI principles in all aspects of the CDT (e.g. recruitment, student well-being, composition of management, supervisory and advisory teams) to make it a pervasive component of the student experience and professional training
Publications (none)
Final Report (none)
Added to Database 17/04/24