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ADAM SIGNED

Autonomous Discovery of Advanced Materials

Total Cost €

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EC-Contrib. €

0

Partnership

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 ADAM project word cloud

Explore the words cloud of the ADAM project. It provides you a very rough idea of what is the project "ADAM" about.

inventing    molecules    local    relationships    space    bridge    human    learning    correspond    investigators    approached    pollution    transformation    car    multidimensional    leader    searching    storage    joint    robot    newly    evolutionary    realizable    track    predict    platform    pioneer    constructing    mobile    discovery    machine    creativity    partnership    computation    prediction    experimentally    principal    engineering    autonomous    minima    atomic    robotics    amplifies    chemists    rules    experimental    energy    parallel    adam    difficult    lay    unexplored    chemical    2017    revolutionizing    property    lives    exploration    experiment    international    limited    team    couple    macroscopic    engines    intelligent    classes    integrates    crystal    functional    artificially    computational    focussing    object    synergistic    planning    certainty    structure    synthesis    2011    building    surface    groundwork    chemist    vast    materials    discover    exists    data    molecular    scope    healthcare    laboratory    positions    vision    automation    record    intuitive    nature    engine    breakthroughs    depths   

Project "ADAM" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF SOUTHAMPTON 

Organization address
address: Highfield
city: SOUTHAMPTON
postcode: SO17 1BJ
website: http://www.southampton.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 9˙999˙283 €
 EC max contribution 9˙999˙283 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-SyG
 Funding Scheme ERC-SyG
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2026-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) coordinator 3˙493˙039.00
2    THE UNIVERSITY OF LIVERPOOL UK (LIVERPOOL) participant 4˙119˙096.00
3    UNIVERSITAET ROSTOCK DE (ROSTOCK) participant 2˙387˙148.00

Map

 Project objective

Materials impact most aspects of our lives, including healthcare, energy production, data storage and pollution control. However, the design of functional materials cannot be approached with the certainty and the engineering rules that would be used in planning and constructing a macroscopic object, such as a car or bridge. This is because of the limited scope for design that exists at the atomic scale: experimentally realizable materials must correspond to local minima on a complex, multidimensional energy surface, whose positions and depths are difficult to predict. This project will change the way that we discover new molecular materials by revolutionizing the exploration process, rather than focussing on rules for intuitive design. This will be achieved through a unique synergistic partnership between three principal investigators, bringing together an international leader in crystal structure modelling and prediction methods, an experimental chemist with a track record for inventing new classes of functional materials, and a pioneer in robotics for laboratory and process automation. The programme integrates state-of-the-art computation, experiment and robotics, building on joint breakthroughs from our team (Nature, 2011; Nature, 2017) that lay the groundwork for a transformation in our materials discovery capabilities. We will build a Computational Engine for evolutionary exploration of chemical space using crystal structure prediction and machine learning of structure-property relationships for the assessment of molecules. In parallel, we will develop an Experimental Engine for autonomous synthesis and properties testing using newly-developed, artificially-intelligent, mobile ‘robot chemists’. The vision of ADAM is to couple these two engines together, creating an autonomous discovery platform that amplifies human creativity by searching the vast, unexplored chemical space for new materials with step change properties.

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The information about "ADAM" are provided by the European Opendata Portal: CORDIS opendata.

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