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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 (£)
Adopting Green Solvents through Predicting Reaction Outcomes with AI/Machine LearningNguyen, Dr BNUniversity of LeedsSch of Chemistry 1,589,770
Complex Chemical Systems Platform Exploring Inorganic IntelligenceCronin, Professor LUniversity of GlasgowSchool of Chemistry 1,586,635
Digital navigation of chemical space for functionRosseinsky, Professor MUniversity of LiverpoolChemistry 8,699,373
Exact Results in Aperiodic SystemsFlicker, Dr FCardiff UniversitySchool of Physics and Astronomy 362,297
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: 5
Total Value of Grants: £13,203,643

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