Project description
Robotics and ML for advanced materials
Functional materials possess particular properties and functions and have a determinant impact in a wide range of fields from healthcare to data storage and energy production. However, the design of functional materials cannot be approached with existing rules applied in the development of macroscopic objects. The EU-funded ADAM project intends to revolutionise the exploration process by combining synergistic exploitation of experiences in crystal structure modelling, prediction methods, chemistry and robotics. The aim of the project is to create and couple two parallel engines, a computational engine for evolutionary exploration of chemical space and an experimental engine for autonomous synthesis and properties testing, in order to establish an autonomous discovery platform that will search the immense and unexplored chemical space for new advanced materials.
Fields of science
- engineering and technologymaterials engineeringcrystals
- social sciencessociologyindustrial relationsautomation
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Topic(s)
Funding Scheme
ERC-SyG - Synergy grantHost institution
SO17 1BJ Southampton
United Kingdom
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Beneficiaries (3)
SO17 1BJ Southampton
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L69 7ZX Liverpool
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18055 Rostock
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