Project description
Promoting accelerated discovery of novel battery materials
Energy production and transport are evolving rapidly to meet today’s growing demand and environmental goals. However, low-cost and high-performance solutions are lacking when it comes to energy storage. To address the absence of innovative battery technologies, the EU-funded BIG-MAP project aims to develop a modular, closed-loop infrastructure and methodology to bridge physical insights and data-driven approaches. To this end, it will cohesively integrate machine learning, computer simulations and AI-orchestrated experiments and synthesis to accelerate the discovery and optimisation of sustainable battery materials. The project will play a role in the creation of a versatile and chemistry-neutral European Materials Acceleration Platform that can significantly increase the rate of discovery of new battery materials and interfaces.
Objective
Today, energy production and transport are evolving fast to meet challenging environmental targets and growing demand. The Achilles’ heel is energy storage, which is incapable of providing both low cost and high-performance solutions. The answer is not a simple evolution of existing batteries but disruptive technologies that must be discovered fast.
The BIG-MAP vision is to develop a modular, closed-loop infrastructure and methodology to bridge physical insights and data-driven approaches to accelerate the discovery of sustainable battery chemistries and technologies. BIG-MAP’s strategy is to cohesively integrate machine learning, computer simulations and AI-orchestrated experiments and synthesis to accelerate battery materials discovery and optimization. The project will be a lever to create the infrastructural backbone of a versatile and chemistry-neutral European Materials Acceleration Platform, capable of reaching a 10-fold increase in the rate of discovery of novel battery materials and interfaces.
To succeed in this unprecedented international initiative, the BIG-MAP consortium covers the entire battery discovery value chain from atoms to battery cells, totaling 34 partners from 15 countries and spanning world-leading academic experts, research laboratories and industry leaders. The consortium is a joint European battery community effort, and the large-scale European Research Initiative BATTERY 2030+ stands united behind the BIG-MAP consortium. In addition to 13 core partners from BATTERY 2030+, the BIG-MAP consortium includes 21 leading European partners with complementary battery skills and essential competences from critical research areas such as quantum machine learning, deep learning and autonomous synthesis robotics. All partners will work to create an innovative methodology relying on unique competences and cross-cutting initiatives to deliver a shared infrastructure and 12 key demonstrators to showcase the value of AI-orchestrated materials discovery.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencesbiological sciencesgeneticsgenomes
- natural sciencesmathematicsapplied mathematicsmathematical model
Keywords
Programme(s)
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Funding Scheme
RIA - Research and Innovation actionCoordinator
2800 Kongens Lyngby
Denmark
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Participants (38)
751 05 Uppsala
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76131 Karlsruhe
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75794 Paris
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
80025 Amiens
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48149 MUENSTER
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75015 PARIS 15
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1000 Ljubljana
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7034 Trondheim
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10129 Torino
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80686 Munchen
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412 96 GOTEBORG
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00-661 WARSZAWA
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28006 Madrid
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2628 CN Delft
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00185 Roma
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1015 Lausanne
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CB2 1TN Cambridge
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OX1 2JD Oxford
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51005 Tartu
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L69 7ZX Liverpool
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38000 Grenoble
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38000 Grenoble
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91190 Saint Aubin
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20014 San Sebastian
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1120 Bruxelles / Brussel
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1000 Bruxelles / Brussel
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
38000 Grenoble
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1120 Bruxelles / Brussel
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Participation ended
69003 Lyon
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
69003 LYON
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67063 Ludwigshafen Am Rhein
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112 47 Stockholm
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Participation ended
4051 Basel
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2300 Kobenhavn
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70563 Stuttgart
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52428 Julich
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92300 Levallois Perret
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1010 Wien
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