EPSRC logo
EPSRC Support by Research Area (Artificial Intelligence Technologies) in Theme (Physical Sciences)

Research areas are used to describe EPSRC's portfolio of excellent long term research and high quality postgraduate training.

Grants are classified using one or more research areas. The number and value of grants listed below reflects how the theme portfolio is described by this research area.

Please note: some research areas will appear under multiple themes. There is no unique, absolute, relationship between a research area and a theme.

Grant TitlePrincipal
Investigator
OrganisationDepartmentTotal Grant
Value (£)
A Robot ChemistKing, Professor RUniversity of Manchester, TheComputer Science 243,280
Active Learning for Computational Polymorph Landscape AnalysisDay, Professor GMUniversity of SouthamptonSch of Chemistry 251,033
Analysing the Motion of Biological SwimmersHogg, Professor DUniversity of LeedsSch of Computing 246,811
Artificial and Augmented Intelligence for Automated Scientific DiscoveryFrey, Professor JGUniversity of SouthamptonSch of Chemistry 1,014,318
Complex Chemical Systems Platform Exploring Inorganic IntelligenceCronin, Professor LUniversity of GlasgowSchool of Chemistry 1,586,635
Enhancing Machine Learning with Physical Constraints to Predict Microstructure EvolutionClarke, Professor NUniversity of SheffieldPhysics and Astronomy 250,600
Neuromorphic memristive circuits to simulate inhibitory and excitatory dynamics of neuron networks: from physiological similarities to deep learningSaveliev, Professor SLoughborough UniversityPhysics 965,568

Total Number of Grants: 7
Total Value of Grants: £4,558,245

The grant value may include the cost of access to facilities (these funds are not awarded to the grant holding organisation).