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Autonomous Discovery of Advanced Materials

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.

Call for proposal

ERC-2019-SyG
See other projects for this call

Funding Scheme

ERC-SyG - Synergy grant

Host institution

UNIVERSITY OF SOUTHAMPTON
Address
Highfield
SO17 1BJ Southampton
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 3 493 039

Beneficiaries (3)

UNIVERSITY OF SOUTHAMPTON
United Kingdom
EU contribution
€ 3 493 039
Address
Highfield
SO17 1BJ Southampton
Activity type
Higher or Secondary Education Establishments
THE UNIVERSITY OF LIVERPOOL
United Kingdom
EU contribution
€ 4 119 096
Address
Brownlow Hill 765 Foundation Building
L69 7ZX Liverpool
Activity type
Higher or Secondary Education Establishments
UNIVERSITAET ROSTOCK
Germany
EU contribution
€ 2 387 148
Address
Universitatsplatz 1
18055 Rostock
Activity type
Higher or Secondary Education Establishments