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ADAM SIGNED

Autonomous Discovery of Advanced Materials

Total Cost €

0

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.

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

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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