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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.

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

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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